diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index a5caf8b..1476cb7 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -21,7 +21,9 @@
     "%matplotlib inline\n",
     "\n",
     "import numpy as np\n",
-    "import pandas as pd"
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
@@ -41,7 +43,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "websites = pd.read_csv('../data/website.csv')"
+    "websites = pd.read_csv('website.csv')"
    ]
   },
   {
@@ -67,18 +69,192 @@
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>URL</th>\n",
+       "      <th>URL_LENGTH</th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>CHARSET</th>\n",
+       "      <th>SERVER</th>\n",
+       "      <th>CONTENT_LENGTH</th>\n",
+       "      <th>WHOIS_COUNTRY</th>\n",
+       "      <th>WHOIS_STATEPRO</th>\n",
+       "      <th>WHOIS_REGDATE</th>\n",
+       "      <th>WHOIS_UPDATED_DATE</th>\n",
+       "      <th>...</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>APP_BYTES</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>REMOTE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>REMOTE_APP_BYTES</th>\n",
+       "      <th>APP_PACKETS</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>M0_109</td>\n",
+       "      <td>16</td>\n",
+       "      <td>7</td>\n",
+       "      <td>iso-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>263.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10/10/2015 18:21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>700</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>832</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>B0_2314</td>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache/2.4.10</td>\n",
+       "      <td>15087.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>19</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       URL  URL_LENGTH  NUMBER_SPECIAL_CHARACTERS     CHARSET         SERVER  \\\n",
+       "0   M0_109          16                          7  iso-8859-1          nginx   \n",
+       "1  B0_2314          16                          6       UTF-8  Apache/2.4.10   \n",
+       "\n",
+       "   CONTENT_LENGTH WHOIS_COUNTRY WHOIS_STATEPRO     WHOIS_REGDATE  \\\n",
+       "0           263.0           NaN            NaN  10/10/2015 18:21   \n",
+       "1         15087.0           NaN            NaN               NaN   \n",
+       "\n",
+       "  WHOIS_UPDATED_DATE  ...  DIST_REMOTE_TCP_PORT  REMOTE_IPS  APP_BYTES  \\\n",
+       "0                NaN  ...                     0           2        700   \n",
+       "1                NaN  ...                     7           4       1230   \n",
+       "\n",
+       "   SOURCE_APP_PACKETS  REMOTE_APP_PACKETS  SOURCE_APP_BYTES  REMOTE_APP_BYTES  \\\n",
+       "0                   9                  10              1153               832   \n",
+       "1                  17                  19              1265              1230   \n",
+       "\n",
+       "   APP_PACKETS  DNS_QUERY_TIMES  Type  \n",
+       "0            9              2.0     1  \n",
+       "1           17              0.0     0  \n",
+       "\n",
+       "[2 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "websites.head(2)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "URL                           object\n",
+       "URL_LENGTH                     int64\n",
+       "NUMBER_SPECIAL_CHARACTERS      int64\n",
+       "CHARSET                       object\n",
+       "SERVER                        object\n",
+       "CONTENT_LENGTH               float64\n",
+       "WHOIS_COUNTRY                 object\n",
+       "WHOIS_STATEPRO                object\n",
+       "WHOIS_REGDATE                 object\n",
+       "WHOIS_UPDATED_DATE            object\n",
+       "TCP_CONVERSATION_EXCHANGE      int64\n",
+       "DIST_REMOTE_TCP_PORT           int64\n",
+       "REMOTE_IPS                     int64\n",
+       "APP_BYTES                      int64\n",
+       "SOURCE_APP_PACKETS             int64\n",
+       "REMOTE_APP_PACKETS             int64\n",
+       "SOURCE_APP_BYTES               int64\n",
+       "REMOTE_APP_BYTES               int64\n",
+       "APP_PACKETS                    int64\n",
+       "DNS_QUERY_TIMES              float64\n",
+       "Type                           int64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites.dtypes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# Your comment here"
+    "\n",
+    "- Which columns contain the features of the websites? \n",
+    "- Which column contains the feature we will predict? What is the code standing for benign vs malicious websites? \n",
+    "**Type**\n",
+    "- Do we need to transform any of the columns from categorical to ordinal values? If so what are these columns?\n",
+    "**Columns like \"CHARSET,\" \"SERVER,\" \"WHOIS_COUNTRY,\" \"WHOIS_STATEPRO,\" \"WHOIS_REGDATE,\" and \"WHOIS_UPDATED_DATE\" are potential categorical columns that we maybe will want to use for our prediction**"
    ]
   },
   {
@@ -104,9 +280,27 @@
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here:\n",
+    "numeric_columns = websites[[\"URL_LENGTH\", \"NUMBER_SPECIAL_CHARACTERS\", \"CONTENT_LENGTH\", \"TCP_CONVERSATION_EXCHANGE\", \"DIST_REMOTE_TCP_PORT\", \"REMOTE_IPS\", \"APP_BYTES\", \"SOURCE_APP_PACKETS\", \"REMOTE_APP_PACKETS\", \"SOURCE_APP_BYTES\", \"REMOTE_APP_BYTES\", \"APP_PACKETS\", \"DNS_QUERY_TIMES\", \"Type\"]]\n",
+    "correlation = numeric_columns.corr()\n",
+    "\n",
+    "plt.figure(figsize=(10, 10))\n",
+    "sns.heatmap(correlation,annot=True, fmt=\".2f\", linewidths=.5)\n",
+    "plt.title(\"Correlation HeatMap\")\n",
+    "plt.show()"
    ]
   },
   {
@@ -115,7 +309,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your comment here"
+    "# Your comment here\n",
+    "#I would say that URL_lENGTH, NUMBER_SPECIAL_CHARACTERS AND CONTENT_LENGTH have very little correlation."
    ]
   },
   {
@@ -133,11 +328,365 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>URL</th>\n",
+       "      <th>URL_LENGTH</th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>CHARSET</th>\n",
+       "      <th>SERVER</th>\n",
+       "      <th>CONTENT_LENGTH</th>\n",
+       "      <th>WHOIS_COUNTRY</th>\n",
+       "      <th>WHOIS_STATEPRO</th>\n",
+       "      <th>WHOIS_REGDATE</th>\n",
+       "      <th>WHOIS_UPDATED_DATE</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>REMOTE_APP_BYTES</th>\n",
+       "      <th>APP_PACKETS</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>M0_109</td>\n",
+       "      <td>16</td>\n",
+       "      <td>7</td>\n",
+       "      <td>iso-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>263.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10/10/2015 18:21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>832</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>B0_2314</td>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache/2.4.10</td>\n",
+       "      <td>15087.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>B0_911</td>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>us-ascii</td>\n",
+       "      <td>Microsoft-HTTPAPI/2.0</td>\n",
+       "      <td>324.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>B0_113</td>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>162.0</td>\n",
+       "      <td>US</td>\n",
+       "      <td>AK</td>\n",
+       "      <td>7/10/1997 4:00</td>\n",
+       "      <td>12/09/2013 0:45</td>\n",
+       "      <td>22</td>\n",
+       "      <td>3</td>\n",
+       "      <td>39</td>\n",
+       "      <td>18784</td>\n",
+       "      <td>4380</td>\n",
+       "      <td>39</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>B0_403</td>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>124140.0</td>\n",
+       "      <td>US</td>\n",
+       "      <td>TX</td>\n",
+       "      <td>12/05/1996 0:00</td>\n",
+       "      <td>11/04/2017 0:00</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>61</td>\n",
+       "      <td>129889</td>\n",
+       "      <td>4586</td>\n",
+       "      <td>61</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1776</th>\n",
+       "      <td>M4_48</td>\n",
+       "      <td>194</td>\n",
+       "      <td>16</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>Barcelona</td>\n",
+       "      <td>17/09/2008 0:00</td>\n",
+       "      <td>2/09/2016 0:00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>186</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1777</th>\n",
+       "      <td>M4_41</td>\n",
+       "      <td>198</td>\n",
+       "      <td>17</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>Barcelona</td>\n",
+       "      <td>17/09/2008 0:00</td>\n",
+       "      <td>2/09/2016 0:00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>124</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1778</th>\n",
+       "      <td>B0_162</td>\n",
+       "      <td>201</td>\n",
+       "      <td>34</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>Apache/2.2.16 (Debian)</td>\n",
+       "      <td>8904.0</td>\n",
+       "      <td>US</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>15/02/1999 0:00</td>\n",
+       "      <td>15/07/2015 0:00</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>87</td>\n",
+       "      <td>132181</td>\n",
+       "      <td>6945</td>\n",
+       "      <td>87</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1779</th>\n",
+       "      <td>B0_1152</td>\n",
+       "      <td>234</td>\n",
+       "      <td>34</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>cloudflare-nginx</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>US</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>1/04/1998 0:00</td>\n",
+       "      <td>9/12/2016 0:00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1780</th>\n",
+       "      <td>B0_676</td>\n",
+       "      <td>249</td>\n",
+       "      <td>40</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>Microsoft-IIS/8.5</td>\n",
+       "      <td>24435.0</td>\n",
+       "      <td>US</td>\n",
+       "      <td>Wisconsin</td>\n",
+       "      <td>14/11/2008 0:00</td>\n",
+       "      <td>20/11/2013 0:00</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "      <td>25</td>\n",
+       "      <td>3039</td>\n",
+       "      <td>2776</td>\n",
+       "      <td>25</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1781 rows × 18 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          URL  URL_LENGTH  NUMBER_SPECIAL_CHARACTERS     CHARSET  \\\n",
+       "0      M0_109          16                          7  iso-8859-1   \n",
+       "1     B0_2314          16                          6       UTF-8   \n",
+       "2      B0_911          16                          6    us-ascii   \n",
+       "3      B0_113          17                          6  ISO-8859-1   \n",
+       "4      B0_403          17                          6       UTF-8   \n",
+       "...       ...         ...                        ...         ...   \n",
+       "1776    M4_48         194                         16       UTF-8   \n",
+       "1777    M4_41         198                         17       UTF-8   \n",
+       "1778   B0_162         201                         34       utf-8   \n",
+       "1779  B0_1152         234                         34  ISO-8859-1   \n",
+       "1780   B0_676         249                         40       utf-8   \n",
+       "\n",
+       "                      SERVER  CONTENT_LENGTH WHOIS_COUNTRY WHOIS_STATEPRO  \\\n",
+       "0                      nginx           263.0           NaN            NaN   \n",
+       "1              Apache/2.4.10         15087.0           NaN            NaN   \n",
+       "2      Microsoft-HTTPAPI/2.0           324.0           NaN            NaN   \n",
+       "3                      nginx           162.0            US             AK   \n",
+       "4                        NaN        124140.0            US             TX   \n",
+       "...                      ...             ...           ...            ...   \n",
+       "1776                  Apache             NaN            ES      Barcelona   \n",
+       "1777                  Apache             NaN            ES      Barcelona   \n",
+       "1778  Apache/2.2.16 (Debian)          8904.0            US             FL   \n",
+       "1779        cloudflare-nginx             NaN            US             CA   \n",
+       "1780       Microsoft-IIS/8.5         24435.0            US      Wisconsin   \n",
+       "\n",
+       "         WHOIS_REGDATE WHOIS_UPDATED_DATE  DIST_REMOTE_TCP_PORT  REMOTE_IPS  \\\n",
+       "0     10/10/2015 18:21                NaN                     0           2   \n",
+       "1                  NaN                NaN                     7           4   \n",
+       "2                  NaN                NaN                     0           0   \n",
+       "3       7/10/1997 4:00    12/09/2013 0:45                    22           3   \n",
+       "4      12/05/1996 0:00    11/04/2017 0:00                     2           5   \n",
+       "...                ...                ...                   ...         ...   \n",
+       "1776   17/09/2008 0:00     2/09/2016 0:00                     0           0   \n",
+       "1777   17/09/2008 0:00     2/09/2016 0:00                     0           0   \n",
+       "1778   15/02/1999 0:00    15/07/2015 0:00                     2           6   \n",
+       "1779    1/04/1998 0:00     9/12/2016 0:00                     0           0   \n",
+       "1780   14/11/2008 0:00    20/11/2013 0:00                     6          11   \n",
+       "\n",
+       "      SOURCE_APP_PACKETS  SOURCE_APP_BYTES  REMOTE_APP_BYTES  APP_PACKETS  \\\n",
+       "0                      9              1153               832            9   \n",
+       "1                     17              1265              1230           17   \n",
+       "2                      0                 0                 0            0   \n",
+       "3                     39             18784              4380           39   \n",
+       "4                     61            129889              4586           61   \n",
+       "...                  ...               ...               ...          ...   \n",
+       "1776                   0               186                 0            0   \n",
+       "1777                   0               124                 0            0   \n",
+       "1778                  87            132181              6945           87   \n",
+       "1779                   0                 0                 0            0   \n",
+       "1780                  25              3039              2776           25   \n",
+       "\n",
+       "      DNS_QUERY_TIMES  Type  \n",
+       "0                 2.0     1  \n",
+       "1                 0.0     0  \n",
+       "2                 0.0     0  \n",
+       "3                 8.0     0  \n",
+       "4                 4.0     0  \n",
+       "...               ...   ...  \n",
+       "1776              0.0     1  \n",
+       "1777              0.0     1  \n",
+       "1778              4.0     0  \n",
+       "1779              0.0     0  \n",
+       "1780              6.0     0  \n",
+       "\n",
+       "[1781 rows x 18 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites = websites.drop('TCP_CONVERSATION_EXCHANGE', axis=1)\n",
+    "websites"
    ]
   },
   {
@@ -151,11 +700,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Print heatmap again\n",
+    "\n",
+    "columns_to_correlate = ['URL_LENGTH', 'NUMBER_SPECIAL_CHARACTERS', 'CONTENT_LENGTH', 'DIST_REMOTE_TCP_PORT', 'REMOTE_IPS', 'SOURCE_APP_BYTES', 'REMOTE_APP_BYTES', 'APP_PACKETS', 'DNS_QUERY_TIMES']\n",
+    "subset_websites = websites[columns_to_correlate]\n",
+    "\n",
+    "correlation_matrix = subset_websites.corr()\n",
+    "\n",
+    "plt.figure(figsize=(10,10))\n",
+    "sns.heatmap(correlation_matrix, annot=True,fmt='.2f')\n",
+    "plt.title('Correlation Matrix Heatmap')\n",
+    "plt.xlabel('Features')\n",
+    "plt.ylabel('Features')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Print heatmap again\n"
+    "# I removed 'TCP_CONVERSATION_EXCHANGE', 'APP_BYTES' and 'REMOTE_APP_PACKETS'"
    ]
   },
   {
@@ -169,11 +750,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "URL                            0\n",
+       "URL_LENGTH                     0\n",
+       "NUMBER_SPECIAL_CHARACTERS      0\n",
+       "CHARSET                        7\n",
+       "SERVER                       176\n",
+       "CONTENT_LENGTH               812\n",
+       "WHOIS_COUNTRY                306\n",
+       "WHOIS_STATEPRO               362\n",
+       "WHOIS_REGDATE                127\n",
+       "WHOIS_UPDATED_DATE           139\n",
+       "DIST_REMOTE_TCP_PORT           0\n",
+       "REMOTE_IPS                     0\n",
+       "SOURCE_APP_PACKETS             0\n",
+       "SOURCE_APP_BYTES               0\n",
+       "REMOTE_APP_BYTES               0\n",
+       "APP_PACKETS                    0\n",
+       "DNS_QUERY_TIMES                1\n",
+       "Type                           0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites.isna().sum()"
    ]
   },
   {
@@ -187,20 +798,213 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "websites = websites.drop('CONTENT_LENGTH', axis=1)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>URL</th>\n",
+       "      <th>URL_LENGTH</th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>CHARSET</th>\n",
+       "      <th>SERVER</th>\n",
+       "      <th>WHOIS_COUNTRY</th>\n",
+       "      <th>WHOIS_STATEPRO</th>\n",
+       "      <th>WHOIS_REGDATE</th>\n",
+       "      <th>WHOIS_UPDATED_DATE</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>REMOTE_APP_BYTES</th>\n",
+       "      <th>APP_PACKETS</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>M0_109</td>\n",
+       "      <td>16</td>\n",
+       "      <td>7</td>\n",
+       "      <td>iso-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10/10/2015 18:21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>832</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>B0_2314</td>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache/2.4.10</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>B0_911</td>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>us-ascii</td>\n",
+       "      <td>Microsoft-HTTPAPI/2.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>B0_113</td>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>US</td>\n",
+       "      <td>AK</td>\n",
+       "      <td>7/10/1997 4:00</td>\n",
+       "      <td>12/09/2013 0:45</td>\n",
+       "      <td>22</td>\n",
+       "      <td>3</td>\n",
+       "      <td>39</td>\n",
+       "      <td>18784</td>\n",
+       "      <td>4380</td>\n",
+       "      <td>39</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>B0_403</td>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>US</td>\n",
+       "      <td>TX</td>\n",
+       "      <td>12/05/1996 0:00</td>\n",
+       "      <td>11/04/2017 0:00</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>61</td>\n",
+       "      <td>129889</td>\n",
+       "      <td>4586</td>\n",
+       "      <td>61</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       URL  URL_LENGTH  NUMBER_SPECIAL_CHARACTERS     CHARSET  \\\n",
+       "0   M0_109          16                          7  iso-8859-1   \n",
+       "1  B0_2314          16                          6       UTF-8   \n",
+       "2   B0_911          16                          6    us-ascii   \n",
+       "3   B0_113          17                          6  ISO-8859-1   \n",
+       "4   B0_403          17                          6       UTF-8   \n",
+       "\n",
+       "                  SERVER WHOIS_COUNTRY WHOIS_STATEPRO     WHOIS_REGDATE  \\\n",
+       "0                  nginx           NaN            NaN  10/10/2015 18:21   \n",
+       "1          Apache/2.4.10           NaN            NaN               NaN   \n",
+       "2  Microsoft-HTTPAPI/2.0           NaN            NaN               NaN   \n",
+       "3                  nginx            US             AK    7/10/1997 4:00   \n",
+       "4                    NaN            US             TX   12/05/1996 0:00   \n",
+       "\n",
+       "  WHOIS_UPDATED_DATE  DIST_REMOTE_TCP_PORT  REMOTE_IPS  SOURCE_APP_PACKETS  \\\n",
+       "0                NaN                     0           2                   9   \n",
+       "1                NaN                     7           4                  17   \n",
+       "2                NaN                     0           0                   0   \n",
+       "3    12/09/2013 0:45                    22           3                  39   \n",
+       "4    11/04/2017 0:00                     2           5                  61   \n",
+       "\n",
+       "   SOURCE_APP_BYTES  REMOTE_APP_BYTES  APP_PACKETS  DNS_QUERY_TIMES  Type  \n",
+       "0              1153               832            9              2.0     1  \n",
+       "1              1265              1230           17              0.0     0  \n",
+       "2                 0                 0            0              0.0     0  \n",
+       "3             18784              4380           39              8.0     0  \n",
+       "4            129889              4586           61              4.0     0  "
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your comment here\n",
+    "# it had 812 missing values\n",
+    "websites.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your comment here"
+    "# I discovered from my colleagues, that in my dataframe where I had Nan were actually None, but when it transfered to my notebbok, it changed to Nan, so I filled the Nan with None\n",
+    "websites.dropna(inplace=True)"
    ]
   },
   {
@@ -214,11 +1018,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Examine missing values in each column\n"
+   "execution_count": 142,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "URL_LENGTH                   0\n",
+       "NUMBER_SPECIAL_CHARACTERS    0\n",
+       "CHARSET                      0\n",
+       "SERVER                       0\n",
+       "WHOIS_COUNTRY                0\n",
+       "DIST_REMOTE_TCP_PORT         0\n",
+       "REMOTE_IPS                   0\n",
+       "SOURCE_APP_PACKETS           0\n",
+       "SOURCE_APP_BYTES             0\n",
+       "REMOTE_APP_BYTES             0\n",
+       "APP_PACKETS                  0\n",
+       "DNS_QUERY_TIMES              0\n",
+       "Type                         0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 142,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Examine missing values in each column\n",
+    "websites.isna().sum()"
    ]
   },
   {
@@ -256,11 +1085,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 143,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['OTHER', 'US', 'UK', 'AU', 'CA', 'PA', 'IN', 'JP', 'CN', 'ES'],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 143,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "websites['WHOIS_COUNTRY'].unique()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 144,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['OTHER', 'US', 'UK', 'AU', 'CA', 'PA', 'IN', 'JP', 'CN', 'ES'],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 144,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "country_mapping = {\n",
+    "    'Cyprus': 'CY',\n",
+    "    'us': 'US',\n",
+    "    'United Kingdom': 'UK',\n",
+    "    'GB': 'UK',\n",
+    "    \"[u'GB'; u'UK']\": 'UK',\n",
+    "    'se': 'SE',\n",
+    "    'ru': 'RU'}\n",
+    "\n",
+    "websites['WHOIS_COUNTRY'] = websites['WHOIS_COUNTRY'].replace(country_mapping)\n",
+    "\n",
+    "websites['WHOIS_COUNTRY'].unique()"
    ]
   },
   {
@@ -278,11 +1153,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 145,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='WHOIS_COUNTRY'>"
+      ]
+     },
+     "execution_count": 145,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "websites[\"WHOIS_COUNTRY\"].value_counts().plot(kind='bar')\n"
    ]
   },
   {
@@ -294,13 +1190,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 146,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['US', 'OTHER', 'CA', 'ES', 'UK', 'AU', 'PA', 'JP', 'IN', 'CN']"
+      ]
+     },
+     "execution_count": 146,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "top_countries = websites['WHOIS_COUNTRY'].value_counts().head(10).index.tolist()\n",
+    "top_countries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='WHOIS_COUNTRY'>"
+      ]
+     },
+     "execution_count": 147,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "websites['WHOIS_COUNTRY'] = websites['WHOIS_COUNTRY'].apply(lambda x: x if x in top_countries else 'OTHER')\n",
+    "\n",
+    "websites[\"WHOIS_COUNTRY\"].value_counts().plot(kind='bar')"
    ]
   },
   {
@@ -316,11 +1257,162 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 149,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>URL_LENGTH</th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>CHARSET</th>\n",
+       "      <th>SERVER</th>\n",
+       "      <th>WHOIS_COUNTRY</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>REMOTE_APP_BYTES</th>\n",
+       "      <th>APP_PACKETS</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>16</td>\n",
+       "      <td>7</td>\n",
+       "      <td>iso-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>OTHER</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>832</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>OTHER</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>us-ascii</td>\n",
+       "      <td>Microsoft</td>\n",
+       "      <td>OTHER</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>US</td>\n",
+       "      <td>22</td>\n",
+       "      <td>3</td>\n",
+       "      <td>39</td>\n",
+       "      <td>18784</td>\n",
+       "      <td>4380</td>\n",
+       "      <td>39</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>US</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>61</td>\n",
+       "      <td>129889</td>\n",
+       "      <td>4586</td>\n",
+       "      <td>61</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   URL_LENGTH  NUMBER_SPECIAL_CHARACTERS     CHARSET     SERVER WHOIS_COUNTRY  \\\n",
+       "0          16                          7  iso-8859-1      nginx         OTHER   \n",
+       "1          16                          6       UTF-8     Apache         OTHER   \n",
+       "2          16                          6    us-ascii  Microsoft         OTHER   \n",
+       "3          17                          6  ISO-8859-1      nginx            US   \n",
+       "4          17                          6       UTF-8      Other            US   \n",
+       "\n",
+       "   DIST_REMOTE_TCP_PORT  REMOTE_IPS  SOURCE_APP_PACKETS  SOURCE_APP_BYTES  \\\n",
+       "0                     0           2                   9              1153   \n",
+       "1                     7           4                  17              1265   \n",
+       "2                     0           0                   0                 0   \n",
+       "3                    22           3                  39             18784   \n",
+       "4                     2           5                  61            129889   \n",
+       "\n",
+       "   REMOTE_APP_BYTES  APP_PACKETS  DNS_QUERY_TIMES  Type  \n",
+       "0               832            9              2.0     1  \n",
+       "1              1230           17              0.0     0  \n",
+       "2                 0            0              0.0     0  \n",
+       "3              4380           39              8.0     0  \n",
+       "4              4586           61              4.0     0  "
+      ]
+     },
+     "execution_count": 149,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites.drop([\"WHOIS_STATEPRO\",\"WHOIS_REGDATE\",\"WHOIS_UPDATED_DATE\"],axis=1, inplace=True)\n",
+    "websites.head()"
    ]
   },
   {
@@ -334,11 +1426,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 150,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "URL_LENGTH                     int64\n",
+       "NUMBER_SPECIAL_CHARACTERS      int64\n",
+       "CHARSET                       object\n",
+       "SERVER                        object\n",
+       "WHOIS_COUNTRY                 object\n",
+       "DIST_REMOTE_TCP_PORT           int64\n",
+       "REMOTE_IPS                     int64\n",
+       "SOURCE_APP_PACKETS             int64\n",
+       "SOURCE_APP_BYTES               int64\n",
+       "REMOTE_APP_BYTES               int64\n",
+       "APP_PACKETS                    int64\n",
+       "DNS_QUERY_TIMES              float64\n",
+       "Type                           int64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 150,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites.dtypes"
    ]
   },
   {
@@ -350,11 +1467,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 153,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "websites.drop(\"URL\",axis=1,inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "URL_LENGTH                     int64\n",
+       "NUMBER_SPECIAL_CHARACTERS      int64\n",
+       "CHARSET                       object\n",
+       "SERVER                        object\n",
+       "WHOIS_COUNTRY                 object\n",
+       "DIST_REMOTE_TCP_PORT           int64\n",
+       "REMOTE_IPS                     int64\n",
+       "SOURCE_APP_PACKETS             int64\n",
+       "SOURCE_APP_BYTES               int64\n",
+       "REMOTE_APP_BYTES               int64\n",
+       "APP_PACKETS                    int64\n",
+       "DNS_QUERY_TIMES              float64\n",
+       "Type                           int64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 152,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "websites.dtypes"
    ]
   },
   {
@@ -366,11 +1517,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 154,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['iso-8859-1', 'UTF-8', 'us-ascii', 'ISO-8859-1', 'utf-8',\n",
+       "       'windows-1251', 'ISO-8859', 'windows-1252'], dtype=object)"
+      ]
+     },
+     "execution_count": 154,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here"
+    "# Your code here\n",
+    "websites['CHARSET'].unique()"
    ]
   },
   {
@@ -384,11 +1548,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 155,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['nginx', 'Apache', 'Microsoft', 'Other'], dtype=object)"
+      ]
+     },
+     "execution_count": 155,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "websites['SERVER'].unique()"
    ]
   },
   {
@@ -400,7 +1576,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 156,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -418,22 +1594,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 157,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "def label_server(server):\n",
+    "    if 'Microsoft' in server:\n",
+    "        return 'Microsoft'\n",
+    "    elif 'Apache' in server:\n",
+    "        return 'Apache'\n",
+    "    elif 'nginx' in server:\n",
+    "        return 'nginx'\n",
+    "    else:\n",
+    "        return 'Other'\n",
+    "\n",
+    "websites['SERVER'] = websites['SERVER'].apply(label_server)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 158,
    "metadata": {
     "scrolled": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['nginx', 'Apache', 'Microsoft', 'Other'], dtype=object)"
+      ]
+     },
+     "execution_count": 158,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Count `SERVER` value counts here\n"
+    "# Count `SERVER` value counts here\n",
+    "websites[\"SERVER\"].unique()"
    ]
   },
   {
@@ -445,11 +1644,414 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 159,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>SERVER_Apache</th>\n",
+       "      <th>SERVER_Microsoft</th>\n",
+       "      <th>SERVER_Other</th>\n",
+       "      <th>SERVER_nginx</th>\n",
+       "      <th>CHARSET_ISO-8859</th>\n",
+       "      <th>CHARSET_ISO-8859-1</th>\n",
+       "      <th>CHARSET_UTF-8</th>\n",
+       "      <th>CHARSET_iso-8859-1</th>\n",
+       "      <th>CHARSET_us-ascii</th>\n",
+       "      <th>CHARSET_utf-8</th>\n",
+       "      <th>...</th>\n",
+       "      <th>WHOIS_COUNTRY_AU</th>\n",
+       "      <th>WHOIS_COUNTRY_CA</th>\n",
+       "      <th>WHOIS_COUNTRY_CN</th>\n",
+       "      <th>WHOIS_COUNTRY_ES</th>\n",
+       "      <th>WHOIS_COUNTRY_IN</th>\n",
+       "      <th>WHOIS_COUNTRY_JP</th>\n",
+       "      <th>WHOIS_COUNTRY_OTHER</th>\n",
+       "      <th>WHOIS_COUNTRY_PA</th>\n",
+       "      <th>WHOIS_COUNTRY_UK</th>\n",
+       "      <th>WHOIS_COUNTRY_US</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1776</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1777</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1778</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1779</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
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+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1780</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1773 rows × 22 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      SERVER_Apache  SERVER_Microsoft  SERVER_Other  SERVER_nginx  \\\n",
+       "0                 0                 0             0             1   \n",
+       "1                 1                 0             0             0   \n",
+       "2                 0                 1             0             0   \n",
+       "3                 0                 0             0             1   \n",
+       "4                 0                 0             1             0   \n",
+       "...             ...               ...           ...           ...   \n",
+       "1776              1                 0             0             0   \n",
+       "1777              1                 0             0             0   \n",
+       "1778              1                 0             0             0   \n",
+       "1779              0                 0             0             1   \n",
+       "1780              0                 1             0             0   \n",
+       "\n",
+       "      CHARSET_ISO-8859  CHARSET_ISO-8859-1  CHARSET_UTF-8  CHARSET_iso-8859-1  \\\n",
+       "0                    0                   0              0                   1   \n",
+       "1                    0                   0              1                   0   \n",
+       "2                    0                   0              0                   0   \n",
+       "3                    0                   1              0                   0   \n",
+       "4                    0                   0              1                   0   \n",
+       "...                ...                 ...            ...                 ...   \n",
+       "1776                 0                   0              1                   0   \n",
+       "1777                 0                   0              1                   0   \n",
+       "1778                 0                   0              0                   0   \n",
+       "1779                 0                   1              0                   0   \n",
+       "1780                 0                   0              0                   0   \n",
+       "\n",
+       "      CHARSET_us-ascii  CHARSET_utf-8  ...  WHOIS_COUNTRY_AU  \\\n",
+       "0                    0              0  ...                 0   \n",
+       "1                    0              0  ...                 0   \n",
+       "2                    1              0  ...                 0   \n",
+       "3                    0              0  ...                 0   \n",
+       "4                    0              0  ...                 0   \n",
+       "...                ...            ...  ...               ...   \n",
+       "1776                 0              0  ...                 0   \n",
+       "1777                 0              0  ...                 0   \n",
+       "1778                 0              1  ...                 0   \n",
+       "1779                 0              0  ...                 0   \n",
+       "1780                 0              1  ...                 0   \n",
+       "\n",
+       "      WHOIS_COUNTRY_CA  WHOIS_COUNTRY_CN  WHOIS_COUNTRY_ES  WHOIS_COUNTRY_IN  \\\n",
+       "0                    0                 0                 0                 0   \n",
+       "1                    0                 0                 0                 0   \n",
+       "2                    0                 0                 0                 0   \n",
+       "3                    0                 0                 0                 0   \n",
+       "4                    0                 0                 0                 0   \n",
+       "...                ...               ...               ...               ...   \n",
+       "1776                 0                 0                 1                 0   \n",
+       "1777                 0                 0                 1                 0   \n",
+       "1778                 0                 0                 0                 0   \n",
+       "1779                 0                 0                 0                 0   \n",
+       "1780                 0                 0                 0                 0   \n",
+       "\n",
+       "      WHOIS_COUNTRY_JP  WHOIS_COUNTRY_OTHER  WHOIS_COUNTRY_PA  \\\n",
+       "0                    0                    1                 0   \n",
+       "1                    0                    1                 0   \n",
+       "2                    0                    1                 0   \n",
+       "3                    0                    0                 0   \n",
+       "4                    0                    0                 0   \n",
+       "...                ...                  ...               ...   \n",
+       "1776                 0                    0                 0   \n",
+       "1777                 0                    0                 0   \n",
+       "1778                 0                    0                 0   \n",
+       "1779                 0                    0                 0   \n",
+       "1780                 0                    0                 0   \n",
+       "\n",
+       "      WHOIS_COUNTRY_UK  WHOIS_COUNTRY_US  \n",
+       "0                    0                 0  \n",
+       "1                    0                 0  \n",
+       "2                    0                 0  \n",
+       "3                    0                 1  \n",
+       "4                    0                 1  \n",
+       "...                ...               ...  \n",
+       "1776                 0                 0  \n",
+       "1777                 0                 0  \n",
+       "1778                 0                 1  \n",
+       "1779                 0                 1  \n",
+       "1780                 0                 1  \n",
+       "\n",
+       "[1773 rows x 22 columns]"
+      ]
+     },
+     "execution_count": 159,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "website_dummy=website_dummy = pd.get_dummies(websites[['SERVER','CHARSET', 'WHOIS_COUNTRY']], dtype=int)\n",
+    "website_dummy\n"
    ]
   },
   {
@@ -461,11 +2063,867 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "execution_count": 160,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "SERVER_Apache           int32\n",
+       "SERVER_Microsoft        int32\n",
+       "SERVER_Other            int32\n",
+       "SERVER_nginx            int32\n",
+       "CHARSET_ISO-8859        int32\n",
+       "CHARSET_ISO-8859-1      int32\n",
+       "CHARSET_UTF-8           int32\n",
+       "CHARSET_iso-8859-1      int32\n",
+       "CHARSET_us-ascii        int32\n",
+       "CHARSET_utf-8           int32\n",
+       "CHARSET_windows-1251    int32\n",
+       "CHARSET_windows-1252    int32\n",
+       "WHOIS_COUNTRY_AU        int32\n",
+       "WHOIS_COUNTRY_CA        int32\n",
+       "WHOIS_COUNTRY_CN        int32\n",
+       "WHOIS_COUNTRY_ES        int32\n",
+       "WHOIS_COUNTRY_IN        int32\n",
+       "WHOIS_COUNTRY_JP        int32\n",
+       "WHOIS_COUNTRY_OTHER     int32\n",
+       "WHOIS_COUNTRY_PA        int32\n",
+       "WHOIS_COUNTRY_UK        int32\n",
+       "WHOIS_COUNTRY_US        int32\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 160,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "website_dummy.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>URL_LENGTH</th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>CHARSET</th>\n",
+       "      <th>SERVER</th>\n",
+       "      <th>WHOIS_COUNTRY</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>REMOTE_APP_BYTES</th>\n",
+       "      <th>...</th>\n",
+       "      <th>WHOIS_COUNTRY_AU</th>\n",
+       "      <th>WHOIS_COUNTRY_CA</th>\n",
+       "      <th>WHOIS_COUNTRY_CN</th>\n",
+       "      <th>WHOIS_COUNTRY_ES</th>\n",
+       "      <th>WHOIS_COUNTRY_IN</th>\n",
+       "      <th>WHOIS_COUNTRY_JP</th>\n",
+       "      <th>WHOIS_COUNTRY_OTHER</th>\n",
+       "      <th>WHOIS_COUNTRY_PA</th>\n",
+       "      <th>WHOIS_COUNTRY_UK</th>\n",
+       "      <th>WHOIS_COUNTRY_US</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>16</td>\n",
+       "      <td>7</td>\n",
+       "      <td>iso-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>OTHER</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>832</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>OTHER</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>us-ascii</td>\n",
+       "      <td>Microsoft</td>\n",
+       "      <td>OTHER</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>US</td>\n",
+       "      <td>22</td>\n",
+       "      <td>3</td>\n",
+       "      <td>39</td>\n",
+       "      <td>18784</td>\n",
+       "      <td>4380</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>US</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>61</td>\n",
+       "      <td>129889</td>\n",
+       "      <td>4586</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1776</th>\n",
+       "      <td>194</td>\n",
+       "      <td>16</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>186</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1777</th>\n",
+       "      <td>198</td>\n",
+       "      <td>17</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>124</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1778</th>\n",
+       "      <td>201</td>\n",
+       "      <td>34</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>US</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>87</td>\n",
+       "      <td>132181</td>\n",
+       "      <td>6945</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1779</th>\n",
+       "      <td>234</td>\n",
+       "      <td>34</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>US</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1780</th>\n",
+       "      <td>249</td>\n",
+       "      <td>40</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>Microsoft</td>\n",
+       "      <td>US</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "      <td>25</td>\n",
+       "      <td>3039</td>\n",
+       "      <td>2776</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1773 rows × 35 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      URL_LENGTH  NUMBER_SPECIAL_CHARACTERS     CHARSET     SERVER  \\\n",
+       "0             16                          7  iso-8859-1      nginx   \n",
+       "1             16                          6       UTF-8     Apache   \n",
+       "2             16                          6    us-ascii  Microsoft   \n",
+       "3             17                          6  ISO-8859-1      nginx   \n",
+       "4             17                          6       UTF-8      Other   \n",
+       "...          ...                        ...         ...        ...   \n",
+       "1776         194                         16       UTF-8     Apache   \n",
+       "1777         198                         17       UTF-8     Apache   \n",
+       "1778         201                         34       utf-8     Apache   \n",
+       "1779         234                         34  ISO-8859-1      nginx   \n",
+       "1780         249                         40       utf-8  Microsoft   \n",
+       "\n",
+       "     WHOIS_COUNTRY  DIST_REMOTE_TCP_PORT  REMOTE_IPS  SOURCE_APP_PACKETS  \\\n",
+       "0            OTHER                     0           2                   9   \n",
+       "1            OTHER                     7           4                  17   \n",
+       "2            OTHER                     0           0                   0   \n",
+       "3               US                    22           3                  39   \n",
+       "4               US                     2           5                  61   \n",
+       "...            ...                   ...         ...                 ...   \n",
+       "1776            ES                     0           0                   0   \n",
+       "1777            ES                     0           0                   0   \n",
+       "1778            US                     2           6                  87   \n",
+       "1779            US                     0           0                   0   \n",
+       "1780            US                     6          11                  25   \n",
+       "\n",
+       "      SOURCE_APP_BYTES  REMOTE_APP_BYTES  ...  WHOIS_COUNTRY_AU  \\\n",
+       "0                 1153               832  ...                 0   \n",
+       "1                 1265              1230  ...                 0   \n",
+       "2                    0                 0  ...                 0   \n",
+       "3                18784              4380  ...                 0   \n",
+       "4               129889              4586  ...                 0   \n",
+       "...                ...               ...  ...               ...   \n",
+       "1776               186                 0  ...                 0   \n",
+       "1777               124                 0  ...                 0   \n",
+       "1778            132181              6945  ...                 0   \n",
+       "1779                 0                 0  ...                 0   \n",
+       "1780              3039              2776  ...                 0   \n",
+       "\n",
+       "      WHOIS_COUNTRY_CA  WHOIS_COUNTRY_CN  WHOIS_COUNTRY_ES  WHOIS_COUNTRY_IN  \\\n",
+       "0                    0                 0                 0                 0   \n",
+       "1                    0                 0                 0                 0   \n",
+       "2                    0                 0                 0                 0   \n",
+       "3                    0                 0                 0                 0   \n",
+       "4                    0                 0                 0                 0   \n",
+       "...                ...               ...               ...               ...   \n",
+       "1776                 0                 0                 1                 0   \n",
+       "1777                 0                 0                 1                 0   \n",
+       "1778                 0                 0                 0                 0   \n",
+       "1779                 0                 0                 0                 0   \n",
+       "1780                 0                 0                 0                 0   \n",
+       "\n",
+       "      WHOIS_COUNTRY_JP  WHOIS_COUNTRY_OTHER  WHOIS_COUNTRY_PA  \\\n",
+       "0                    0                    1                 0   \n",
+       "1                    0                    1                 0   \n",
+       "2                    0                    1                 0   \n",
+       "3                    0                    0                 0   \n",
+       "4                    0                    0                 0   \n",
+       "...                ...                  ...               ...   \n",
+       "1776                 0                    0                 0   \n",
+       "1777                 0                    0                 0   \n",
+       "1778                 0                    0                 0   \n",
+       "1779                 0                    0                 0   \n",
+       "1780                 0                    0                 0   \n",
+       "\n",
+       "      WHOIS_COUNTRY_UK  WHOIS_COUNTRY_US  \n",
+       "0                    0                 0  \n",
+       "1                    0                 0  \n",
+       "2                    0                 0  \n",
+       "3                    0                 1  \n",
+       "4                    0                 1  \n",
+       "...                ...               ...  \n",
+       "1776                 0                 0  \n",
+       "1777                 0                 0  \n",
+       "1778                 0                 1  \n",
+       "1779                 0                 1  \n",
+       "1780                 0                 1  \n",
+       "\n",
+       "[1773 rows x 35 columns]"
+      ]
+     },
+     "execution_count": 161,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "websites_final = pd.concat([websites, website_dummy], axis=1)\n",
+    "websites_final"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>URL_LENGTH</th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>REMOTE_APP_BYTES</th>\n",
+       "      <th>APP_PACKETS</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "      <th>...</th>\n",
+       "      <th>WHOIS_COUNTRY_AU</th>\n",
+       "      <th>WHOIS_COUNTRY_CA</th>\n",
+       "      <th>WHOIS_COUNTRY_CN</th>\n",
+       "      <th>WHOIS_COUNTRY_ES</th>\n",
+       "      <th>WHOIS_COUNTRY_IN</th>\n",
+       "      <th>WHOIS_COUNTRY_JP</th>\n",
+       "      <th>WHOIS_COUNTRY_OTHER</th>\n",
+       "      <th>WHOIS_COUNTRY_PA</th>\n",
+       "      <th>WHOIS_COUNTRY_UK</th>\n",
+       "      <th>WHOIS_COUNTRY_US</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>16</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>832</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>22</td>\n",
+       "      <td>3</td>\n",
+       "      <td>39</td>\n",
+       "      <td>18784</td>\n",
+       "      <td>4380</td>\n",
+       "      <td>39</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>61</td>\n",
+       "      <td>129889</td>\n",
+       "      <td>4586</td>\n",
+       "      <td>61</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1776</th>\n",
+       "      <td>194</td>\n",
+       "      <td>16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>186</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1777</th>\n",
+       "      <td>198</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>124</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1778</th>\n",
+       "      <td>201</td>\n",
+       "      <td>34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>87</td>\n",
+       "      <td>132181</td>\n",
+       "      <td>6945</td>\n",
+       "      <td>87</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1779</th>\n",
+       "      <td>234</td>\n",
+       "      <td>34</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1780</th>\n",
+       "      <td>249</td>\n",
+       "      <td>40</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "      <td>25</td>\n",
+       "      <td>3039</td>\n",
+       "      <td>2776</td>\n",
+       "      <td>25</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1773 rows × 32 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      URL_LENGTH  NUMBER_SPECIAL_CHARACTERS  DIST_REMOTE_TCP_PORT  REMOTE_IPS  \\\n",
+       "0             16                          7                     0           2   \n",
+       "1             16                          6                     7           4   \n",
+       "2             16                          6                     0           0   \n",
+       "3             17                          6                    22           3   \n",
+       "4             17                          6                     2           5   \n",
+       "...          ...                        ...                   ...         ...   \n",
+       "1776         194                         16                     0           0   \n",
+       "1777         198                         17                     0           0   \n",
+       "1778         201                         34                     2           6   \n",
+       "1779         234                         34                     0           0   \n",
+       "1780         249                         40                     6          11   \n",
+       "\n",
+       "      SOURCE_APP_PACKETS  SOURCE_APP_BYTES  REMOTE_APP_BYTES  APP_PACKETS  \\\n",
+       "0                      9              1153               832            9   \n",
+       "1                     17              1265              1230           17   \n",
+       "2                      0                 0                 0            0   \n",
+       "3                     39             18784              4380           39   \n",
+       "4                     61            129889              4586           61   \n",
+       "...                  ...               ...               ...          ...   \n",
+       "1776                   0               186                 0            0   \n",
+       "1777                   0               124                 0            0   \n",
+       "1778                  87            132181              6945           87   \n",
+       "1779                   0                 0                 0            0   \n",
+       "1780                  25              3039              2776           25   \n",
+       "\n",
+       "      DNS_QUERY_TIMES  Type  ...  WHOIS_COUNTRY_AU  WHOIS_COUNTRY_CA  \\\n",
+       "0                 2.0     1  ...                 0                 0   \n",
+       "1                 0.0     0  ...                 0                 0   \n",
+       "2                 0.0     0  ...                 0                 0   \n",
+       "3                 8.0     0  ...                 0                 0   \n",
+       "4                 4.0     0  ...                 0                 0   \n",
+       "...               ...   ...  ...               ...               ...   \n",
+       "1776              0.0     1  ...                 0                 0   \n",
+       "1777              0.0     1  ...                 0                 0   \n",
+       "1778              4.0     0  ...                 0                 0   \n",
+       "1779              0.0     0  ...                 0                 0   \n",
+       "1780              6.0     0  ...                 0                 0   \n",
+       "\n",
+       "      WHOIS_COUNTRY_CN  WHOIS_COUNTRY_ES  WHOIS_COUNTRY_IN  WHOIS_COUNTRY_JP  \\\n",
+       "0                    0                 0                 0                 0   \n",
+       "1                    0                 0                 0                 0   \n",
+       "2                    0                 0                 0                 0   \n",
+       "3                    0                 0                 0                 0   \n",
+       "4                    0                 0                 0                 0   \n",
+       "...                ...               ...               ...               ...   \n",
+       "1776                 0                 1                 0                 0   \n",
+       "1777                 0                 1                 0                 0   \n",
+       "1778                 0                 0                 0                 0   \n",
+       "1779                 0                 0                 0                 0   \n",
+       "1780                 0                 0                 0                 0   \n",
+       "\n",
+       "      WHOIS_COUNTRY_OTHER  WHOIS_COUNTRY_PA  WHOIS_COUNTRY_UK  \\\n",
+       "0                       1                 0                 0   \n",
+       "1                       1                 0                 0   \n",
+       "2                       1                 0                 0   \n",
+       "3                       0                 0                 0   \n",
+       "4                       0                 0                 0   \n",
+       "...                   ...               ...               ...   \n",
+       "1776                    0                 0                 0   \n",
+       "1777                    0                 0                 0   \n",
+       "1778                    0                 0                 0   \n",
+       "1779                    0                 0                 0   \n",
+       "1780                    0                 0                 0   \n",
+       "\n",
+       "      WHOIS_COUNTRY_US  \n",
+       "0                    0  \n",
+       "1                    0  \n",
+       "2                    0  \n",
+       "3                    1  \n",
+       "4                    1  \n",
+       "...                ...  \n",
+       "1776                 0  \n",
+       "1777                 0  \n",
+       "1778                 1  \n",
+       "1779                 1  \n",
+       "1780                 1  \n",
+       "\n",
+       "[1773 rows x 32 columns]"
+      ]
+     },
+     "execution_count": 162,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "websites_final.drop(columns=['SERVER','CHARSET', 'WHOIS_COUNTRY'], inplace=True)\n",
+    "websites_final"
    ]
   },
   {
@@ -479,13 +2937,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 163,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "X_train: (1418, 31)\n",
+      "X_test: (355, 31)\n",
+      "y_train: (1418,)\n",
+      "y_test: (355,)\n"
+     ]
+    }
+   ],
    "source": [
     "from sklearn.model_selection import train_test_split\n",
     "\n",
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "\n",
+    "X = websites_final.drop(columns=['Type'])\n",
+    "y = websites_final['Type']\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1)\n",
+    "\n",
+    "print(\"X_train:\", X_train.shape)\n",
+    "print(\"X_test:\", X_test.shape)\n",
+    "print(\"y_train:\", y_train.shape)\n",
+    "print(\"y_test:\", y_test.shape)"
    ]
   },
   {
@@ -499,12 +2978,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 166,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "from sklearn.linear_model import LogisticRegression\n",
+    "\n",
+    "log_reg = LogisticRegression()"
    ]
   },
   {
@@ -516,12 +2997,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 167,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\maria\\AppData\\Local\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "  n_iter_i = _check_optimize_result(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-8 {color: black;}#sk-container-id-8 pre{padding: 0;}#sk-container-id-8 div.sk-toggleable {background-color: white;}#sk-container-id-8 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-8 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-8 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-8 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-8 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-8 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-8 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-8 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-8 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-8 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-8 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-8 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-8 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-8 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-8 div.sk-item {position: relative;z-index: 1;}#sk-container-id-8 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-8 div.sk-item::before, #sk-container-id-8 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-8 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-8 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-8 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-8 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-8 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-8 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-8 div.sk-label-container {text-align: center;}#sk-container-id-8 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-8 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-8\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" checked><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "LogisticRegression()"
+      ]
+     },
+     "execution_count": 167,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "log_reg.fit(X_train, y_train)"
    ]
   },
   {
@@ -533,12 +3042,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
+   "execution_count": 189,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "from sklearn.metrics import confusion_matrix, accuracy_score\n",
+    "y_pred = log_reg.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 190,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[319,   0],\n",
+       "       [ 36,   0]], dtype=int64)"
+      ]
+     },
+     "execution_count": 190,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "confusion_matrix(y_test, y_pred)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 191,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.8985915492957747"
+      ]
+     },
+     "execution_count": 191,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "accuracy_score(y_test, y_pred)"
    ]
   },
   {
@@ -550,12 +3103,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 184,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Your conclusions here:\n",
-    "\n"
+    "#All values in the conclusions array are 0, so the model predicted the class 0 for all the test.\n",
+    "#There are 319 true negatives, 0 false positives, 36 false negatives, and 0 true positives.\n",
+    "#The accuracy score is 0.899, which means that the model predicted the class for about 89.9% of the instances in the test set."
    ]
   },
   {
@@ -569,12 +3124,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 185,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-9 {color: black;}#sk-container-id-9 pre{padding: 0;}#sk-container-id-9 div.sk-toggleable {background-color: white;}#sk-container-id-9 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-9 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-9 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-9 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-9 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-9 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-9 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-9 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-9 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-9 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-9 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-9 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-9 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-9 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-9 div.sk-item {position: relative;z-index: 1;}#sk-container-id-9 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-9 div.sk-item::before, #sk-container-id-9 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-9 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-9 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-9 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-9 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-9 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-9 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-9 div.sk-label-container {text-align: center;}#sk-container-id-9 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-9 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-9\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsClassifier(n_neighbors=3)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" checked><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier(n_neighbors=3)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "KNeighborsClassifier(n_neighbors=3)"
+      ]
+     },
+     "execution_count": 185,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here:\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "knn = KNeighborsClassifier(n_neighbors = 3)\n",
+    "knn"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 186,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-10 {color: black;}#sk-container-id-10 pre{padding: 0;}#sk-container-id-10 div.sk-toggleable {background-color: white;}#sk-container-id-10 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-10 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-10 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-10 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-10 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-10 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-10 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-10 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-10 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-10 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-10 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-10 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-10 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-10 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-10 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-10 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-10 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-10 div.sk-item {position: relative;z-index: 1;}#sk-container-id-10 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-10 div.sk-item::before, #sk-container-id-10 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-10 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-10 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-10 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-10 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-10 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-10 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-10 div.sk-label-container {text-align: center;}#sk-container-id-10 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-10 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-10\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsClassifier(n_neighbors=3)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" checked><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier(n_neighbors=3)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "KNeighborsClassifier(n_neighbors=3)"
+      ]
+     },
+     "execution_count": 186,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "knn.fit(X_train,y_train)"
    ]
   },
   {
@@ -586,12 +3181,52 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 192,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "y_pred = knn.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 193,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[309,  10],\n",
+       "       [ 14,  22]], dtype=int64)"
+      ]
+     },
+     "execution_count": 193,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "confusion_matrix(y_test, y_pred)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 194,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9323943661971831"
+      ]
+     },
+     "execution_count": 194,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "accuracy_score(y_test, y_pred)"
    ]
   },
   {
@@ -605,12 +3240,100 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 197,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-13 {color: black;}#sk-container-id-13 pre{padding: 0;}#sk-container-id-13 div.sk-toggleable {background-color: white;}#sk-container-id-13 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-13 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-13 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-13 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-13 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-13 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-13 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-13 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-13 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-13 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-13 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-13 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-13 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-13 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-13 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-13 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-13 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-13 div.sk-item {position: relative;z-index: 1;}#sk-container-id-13 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-13 div.sk-item::before, #sk-container-id-13 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-13 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-13 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-13 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-13 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-13 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-13 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-13 div.sk-label-container {text-align: center;}#sk-container-id-13 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-13 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-13\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-13\" type=\"checkbox\" checked><label for=\"sk-estimator-id-13\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier()</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "KNeighborsClassifier()"
+      ]
+     },
+     "execution_count": 197,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here:\n",
+    "knn2 = KNeighborsClassifier(n_neighbors = 5)\n",
+    "knn2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 198,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-14 {color: black;}#sk-container-id-14 pre{padding: 0;}#sk-container-id-14 div.sk-toggleable {background-color: white;}#sk-container-id-14 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-14 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-14 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-14 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-14 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-14 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-14 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-14 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-14 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-14 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-14 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-14 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-14 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-14 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-14 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-14 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-14 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-14 div.sk-item {position: relative;z-index: 1;}#sk-container-id-14 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-14 div.sk-item::before, #sk-container-id-14 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-14 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-14 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-14 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-14 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-14 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-14 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-14 div.sk-label-container {text-align: center;}#sk-container-id-14 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-14 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-14\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsClassifier()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-14\" type=\"checkbox\" checked><label for=\"sk-estimator-id-14\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier()</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "KNeighborsClassifier()"
+      ]
+     },
+     "execution_count": 198,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "knn2.fit(X_train,y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 199,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here:\n",
-    "\n"
+    "y_pred = knn2.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 200,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[307,  12],\n",
+       "       [ 15,  21]], dtype=int64)"
+      ]
+     },
+     "execution_count": 200,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "confusion_matrix(y_test, y_pred)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.923943661971831"
+      ]
+     },
+     "execution_count": 201,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "accuracy_score(y_test, y_pred)"
    ]
   },
   {
@@ -622,12 +3345,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 202,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Your conclusions here:\n",
-    "\n"
+    "# I saw that the number of false positives actually got up, and the true positives down, so I would say it's an improvement.\n",
+    "#The accuracy went from 0.932 to 0.923, so not a very big change but a little."
    ]
   },
   {
@@ -655,9 +3379,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "ironhack-3.7",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "ironhack-3.7"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -669,7 +3393,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/your-code/website.csv b/your-code/website.csv
new file mode 100644
index 0000000..2e9e0f2
--- /dev/null
+++ b/your-code/website.csv
@@ -0,0 +1,1782 @@
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