task4-checkpoint.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('spam.csv' , encoding = 'ISO-8859-1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "      <th>Unnamed: 4</th>\n",
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       "      <th>0</th>\n",
       "      <td>ham</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spam</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ham</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ham</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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      "text/plain": [
       "     v1                                                 v2 Unnamed: 2  \\\n",
       "0   ham  Go until jurong point, crazy.. Available only ...        NaN   \n",
       "1   ham                      Ok lar... Joking wif u oni...        NaN   \n",
       "2  spam  Free entry in 2 a wkly comp to win FA Cup fina...        NaN   \n",
       "3   ham  U dun say so early hor... U c already then say...        NaN   \n",
       "4   ham  Nah I don't think he goes to usf, he lives aro...        NaN   \n",
       "\n",
       "  Unnamed: 3 Unnamed: 4  \n",
       "0        NaN        NaN  \n",
       "1        NaN        NaN  \n",
       "2        NaN        NaN  \n",
       "3        NaN        NaN  \n",
       "4        NaN        NaN  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>5567</th>\n",
       "      <td>spam</td>\n",
       "      <td>This is the 2nd time we have tried 2 contact u...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5568</th>\n",
       "      <td>ham</td>\n",
       "      <td>Will Ì_ b going to esplanade fr home?</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5569</th>\n",
       "      <td>ham</td>\n",
       "      <td>Pity, * was in mood for that. So...any other s...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5570</th>\n",
       "      <td>ham</td>\n",
       "      <td>The guy did some bitching but I acted like i'd...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5571</th>\n",
       "      <td>ham</td>\n",
       "      <td>Rofl. Its true to its name</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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      "text/plain": [
       "        v1                                                 v2 Unnamed: 2  \\\n",
       "5567  spam  This is the 2nd time we have tried 2 contact u...        NaN   \n",
       "5568   ham              Will Ì_ b going to esplanade fr home?        NaN   \n",
       "5569   ham  Pity, * was in mood for that. So...any other s...        NaN   \n",
       "5570   ham  The guy did some bitching but I acted like i'd...        NaN   \n",
       "5571   ham                         Rofl. Its true to its name        NaN   \n",
       "\n",
       "     Unnamed: 3 Unnamed: 4  \n",
       "5567        NaN        NaN  \n",
       "5568        NaN        NaN  \n",
       "5569        NaN        NaN  \n",
       "5570        NaN        NaN  \n",
       "5571        NaN        NaN  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5572, 5)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "27860"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.size "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5572 entries, 0 to 5571\n",
      "Data columns (total 5 columns):\n",
      "v1            5572 non-null object\n",
      "v2            5572 non-null object\n",
      "Unnamed: 2    50 non-null object\n",
      "Unnamed: 3    12 non-null object\n",
      "Unnamed: 4    6 non-null object\n",
      "dtypes: object(5)\n",
      "memory usage: 217.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <th>count</th>\n",
       "      <td>5572</td>\n",
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       "      <td>50</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
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       "      <th>unique</th>\n",
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       "      <td>5169</td>\n",
       "      <td>43</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>ham</td>\n",
       "      <td>Sorry, I'll call later</td>\n",
       "      <td>bt not his girlfrnd... G o o d n i g h t . . .@\"</td>\n",
       "      <td>GE</td>\n",
       "      <td>GNT:-)\"</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>4825</td>\n",
       "      <td>30</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
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      "text/plain": [
       "          v1                      v2  \\\n",
       "count   5572                    5572   \n",
       "unique     2                    5169   \n",
       "top      ham  Sorry, I'll call later   \n",
       "freq    4825                      30   \n",
       "\n",
       "                                               Unnamed: 2 Unnamed: 3  \\\n",
       "count                                                  50         12   \n",
       "unique                                                 43         10   \n",
       "top      bt not his girlfrnd... G o o d n i g h t . . .@\"         GE   \n",
       "freq                                                    3          2   \n",
       "\n",
       "       Unnamed: 4  \n",
       "count           6  \n",
       "unique          5  \n",
       "top       GNT:-)\"  \n",
       "freq            2  "
      ]
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     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.describe() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=['Unnamed: 2','Unnamed: 3','Unnamed: 4'],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>ham</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spam</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ham</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ham</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>spam</td>\n",
       "      <td>FreeMsg Hey there darling it's been 3 week's n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ham</td>\n",
       "      <td>Even my brother is not like to speak with me. ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ham</td>\n",
       "      <td>As per your request 'Melle Melle (Oru Minnamin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>spam</td>\n",
       "      <td>WINNER!! As a valued network customer you have...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>spam</td>\n",
       "      <td>Had your mobile 11 months or more? U R entitle...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>ham</td>\n",
       "      <td>I'm gonna be home soon and i don't want to tal...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>spam</td>\n",
       "      <td>SIX chances to win CASH! From 100 to 20,000 po...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>spam</td>\n",
       "      <td>URGENT! You have won a 1 week FREE membership ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ham</td>\n",
       "      <td>I've been searching for the right words to tha...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ham</td>\n",
       "      <td>I HAVE A DATE ON SUNDAY WITH WILL!!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>spam</td>\n",
       "      <td>XXXMobileMovieClub: To use your credit, click ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ham</td>\n",
       "      <td>Oh k...i'm watching here:)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ham</td>\n",
       "      <td>Eh u remember how 2 spell his name... Yes i di...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ham</td>\n",
       "      <td>Fine if thatåÕs the way u feel. ThatåÕs the wa...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>spam</td>\n",
       "      <td>England v Macedonia - dont miss the goals/team...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ham</td>\n",
       "      <td>Is that seriously how you spell his name?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>ham</td>\n",
       "      <td>IÛ÷m going to try for 2 months ha ha only joking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ham</td>\n",
       "      <td>So Ì_ pay first lar... Then when is da stock c...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ham</td>\n",
       "      <td>Aft i finish my lunch then i go str down lor. ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ffffffffff. Alright no way I can meet up with ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ham</td>\n",
       "      <td>Just forced myself to eat a slice. I'm really ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ham</td>\n",
       "      <td>Lol your always so convincing.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ham</td>\n",
       "      <td>Did you catch the bus ? Are you frying an egg ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>ham</td>\n",
       "      <td>I'm back &amp;amp; we're packing the car now, I'll...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ahhh. Work. I vaguely remember that! What does...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5542</th>\n",
       "      <td>ham</td>\n",
       "      <td>Armand says get your ass over to epsilon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5543</th>\n",
       "      <td>ham</td>\n",
       "      <td>U still havent got urself a jacket ah?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5544</th>\n",
       "      <td>ham</td>\n",
       "      <td>I'm taking derek &amp;amp; taylor to walmart, if I...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5545</th>\n",
       "      <td>ham</td>\n",
       "      <td>Hi its in durban are you still on this number</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5546</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ic. There are a lotta childporn cars then.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5547</th>\n",
       "      <td>spam</td>\n",
       "      <td>Had your contract mobile 11 Mnths? Latest Moto...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5548</th>\n",
       "      <td>ham</td>\n",
       "      <td>No, I was trying it all weekend ;V</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5549</th>\n",
       "      <td>ham</td>\n",
       "      <td>You know, wot people wear. T shirts, jumpers, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5550</th>\n",
       "      <td>ham</td>\n",
       "      <td>Cool, what time you think you can get here?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5551</th>\n",
       "      <td>ham</td>\n",
       "      <td>Wen did you get so spiritual and deep. That's ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5552</th>\n",
       "      <td>ham</td>\n",
       "      <td>Have a safe trip to Nigeria. Wish you happines...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5553</th>\n",
       "      <td>ham</td>\n",
       "      <td>Hahaha..use your brain dear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5554</th>\n",
       "      <td>ham</td>\n",
       "      <td>Well keep in mind I've only got enough gas for...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5555</th>\n",
       "      <td>ham</td>\n",
       "      <td>Yeh. Indians was nice. Tho it did kane me off ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5556</th>\n",
       "      <td>ham</td>\n",
       "      <td>Yes i have. So that's why u texted. Pshew...mi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5557</th>\n",
       "      <td>ham</td>\n",
       "      <td>No. I meant the calculation is the same. That ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5558</th>\n",
       "      <td>ham</td>\n",
       "      <td>Sorry, I'll call later</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5559</th>\n",
       "      <td>ham</td>\n",
       "      <td>if you aren't here in the next  &amp;lt;#&amp;gt;  hou...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5560</th>\n",
       "      <td>ham</td>\n",
       "      <td>Anything lor. Juz both of us lor.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5561</th>\n",
       "      <td>ham</td>\n",
       "      <td>Get me out of this dump heap. My mom decided t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5562</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ok lor... Sony ericsson salesman... I ask shuh...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5563</th>\n",
       "      <td>ham</td>\n",
       "      <td>Ard 6 like dat lor.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5564</th>\n",
       "      <td>ham</td>\n",
       "      <td>Why don't you wait 'til at least wednesday to ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5565</th>\n",
       "      <td>ham</td>\n",
       "      <td>Huh y lei...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5566</th>\n",
       "      <td>spam</td>\n",
       "      <td>REMINDER FROM O2: To get 2.50 pounds free call...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5567</th>\n",
       "      <td>spam</td>\n",
       "      <td>This is the 2nd time we have tried 2 contact u...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5568</th>\n",
       "      <td>ham</td>\n",
       "      <td>Will Ì_ b going to esplanade fr home?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5569</th>\n",
       "      <td>ham</td>\n",
       "      <td>Pity, * was in mood for that. So...any other s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5570</th>\n",
       "      <td>ham</td>\n",
       "      <td>The guy did some bitching but I acted like i'd...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5571</th>\n",
       "      <td>ham</td>\n",
       "      <td>Rofl. Its true to its name</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5572 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        v1                                                 v2\n",
       "0      ham  Go until jurong point, crazy.. Available only ...\n",
       "1      ham                      Ok lar... Joking wif u oni...\n",
       "2     spam  Free entry in 2 a wkly comp to win FA Cup fina...\n",
       "3      ham  U dun say so early hor... U c already then say...\n",
       "4      ham  Nah I don't think he goes to usf, he lives aro...\n",
       "5     spam  FreeMsg Hey there darling it's been 3 week's n...\n",
       "6      ham  Even my brother is not like to speak with me. ...\n",
       "7      ham  As per your request 'Melle Melle (Oru Minnamin...\n",
       "8     spam  WINNER!! As a valued network customer you have...\n",
       "9     spam  Had your mobile 11 months or more? U R entitle...\n",
       "10     ham  I'm gonna be home soon and i don't want to tal...\n",
       "11    spam  SIX chances to win CASH! From 100 to 20,000 po...\n",
       "12    spam  URGENT! You have won a 1 week FREE membership ...\n",
       "13     ham  I've been searching for the right words to tha...\n",
       "14     ham                I HAVE A DATE ON SUNDAY WITH WILL!!\n",
       "15    spam  XXXMobileMovieClub: To use your credit, click ...\n",
       "16     ham                         Oh k...i'm watching here:)\n",
       "17     ham  Eh u remember how 2 spell his name... Yes i di...\n",
       "18     ham  Fine if thatåÕs the way u feel. ThatåÕs the wa...\n",
       "19    spam  England v Macedonia - dont miss the goals/team...\n",
       "20     ham          Is that seriously how you spell his name?\n",
       "21     ham  IÛ÷m going to try for 2 months ha ha only joking\n",
       "22     ham  So Ì_ pay first lar... Then when is da stock c...\n",
       "23     ham  Aft i finish my lunch then i go str down lor. ...\n",
       "24     ham  Ffffffffff. Alright no way I can meet up with ...\n",
       "25     ham  Just forced myself to eat a slice. I'm really ...\n",
       "26     ham                     Lol your always so convincing.\n",
       "27     ham  Did you catch the bus ? Are you frying an egg ...\n",
       "28     ham  I'm back &amp; we're packing the car now, I'll...\n",
       "29     ham  Ahhh. Work. I vaguely remember that! What does...\n",
       "...    ...                                                ...\n",
       "5542   ham           Armand says get your ass over to epsilon\n",
       "5543   ham             U still havent got urself a jacket ah?\n",
       "5544   ham  I'm taking derek &amp; taylor to walmart, if I...\n",
       "5545   ham      Hi its in durban are you still on this number\n",
       "5546   ham         Ic. There are a lotta childporn cars then.\n",
       "5547  spam  Had your contract mobile 11 Mnths? Latest Moto...\n",
       "5548   ham                 No, I was trying it all weekend ;V\n",
       "5549   ham  You know, wot people wear. T shirts, jumpers, ...\n",
       "5550   ham        Cool, what time you think you can get here?\n",
       "5551   ham  Wen did you get so spiritual and deep. That's ...\n",
       "5552   ham  Have a safe trip to Nigeria. Wish you happines...\n",
       "5553   ham                        Hahaha..use your brain dear\n",
       "5554   ham  Well keep in mind I've only got enough gas for...\n",
       "5555   ham  Yeh. Indians was nice. Tho it did kane me off ...\n",
       "5556   ham  Yes i have. So that's why u texted. Pshew...mi...\n",
       "5557   ham  No. I meant the calculation is the same. That ...\n",
       "5558   ham                             Sorry, I'll call later\n",
       "5559   ham  if you aren't here in the next  &lt;#&gt;  hou...\n",
       "5560   ham                  Anything lor. Juz both of us lor.\n",
       "5561   ham  Get me out of this dump heap. My mom decided t...\n",
       "5562   ham  Ok lor... Sony ericsson salesman... I ask shuh...\n",
       "5563   ham                                Ard 6 like dat lor.\n",
       "5564   ham  Why don't you wait 'til at least wednesday to ...\n",
       "5565   ham                                       Huh y lei...\n",
       "5566  spam  REMINDER FROM O2: To get 2.50 pounds free call...\n",
       "5567  spam  This is the 2nd time we have tried 2 contact u...\n",
       "5568   ham              Will Ì_ b going to esplanade fr home?\n",
       "5569   ham  Pity, * was in mood for that. So...any other s...\n",
       "5570   ham  The guy did some bitching but I acted like i'd...\n",
       "5571   ham                         Rofl. Its true to its name\n",
       "\n",
       "[5572 rows x 2 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df.rename(columns={'v1':'Target','v2':'Message'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Target     0\n",
       "Message    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "403"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop_duplicates(keep='first',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10338"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       0\n",
       "1       0\n",
       "2       1\n",
       "3       0\n",
       "4       0\n",
       "5       1\n",
       "6       0\n",
       "7       0\n",
       "8       1\n",
       "9       1\n",
       "10      0\n",
       "11      1\n",
       "12      1\n",
       "13      0\n",
       "14      0\n",
       "15      1\n",
       "16      0\n",
       "17      0\n",
       "18      0\n",
       "19      1\n",
       "20      0\n",
       "21      0\n",
       "22      0\n",
       "23      0\n",
       "24      0\n",
       "25      0\n",
       "26      0\n",
       "27      0\n",
       "28      0\n",
       "29      0\n",
       "       ..\n",
       "5540    1\n",
       "5541    0\n",
       "5542    0\n",
       "5543    0\n",
       "5544    0\n",
       "5545    0\n",
       "5546    0\n",
       "5547    1\n",
       "5548    0\n",
       "5549    0\n",
       "5550    0\n",
       "5551    0\n",
       "5552    0\n",
       "5554    0\n",
       "5555    0\n",
       "5556    0\n",
       "5557    0\n",
       "5559    0\n",
       "5560    0\n",
       "5561    0\n",
       "5562    0\n",
       "5563    0\n",
       "5564    0\n",
       "5565    0\n",
       "5566    1\n",
       "5567    1\n",
       "5568    0\n",
       "5569    0\n",
       "5570    0\n",
       "5571    0\n",
       "Name: Target, Length: 5169, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "encoder=LabelEncoder()\n",
    "df['Target']=encoder.fit_transform(df['Target'])\n",
    "df['Target']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>Target</th>\n",
       "      <th>Message</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Go until jurong point, crazy.. Available only ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>Ok lar... Joking wif u oni...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Free entry in 2 a wkly comp to win FA Cup fina...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>U dun say so early hor... U c already then say...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>Nah I don't think he goes to usf, he lives aro...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Target                                            Message\n",
       "0       0  Go until jurong point, crazy.. Available only ...\n",
       "1       0                      Ok lar... Joking wif u oni...\n",
       "2       1  Free entry in 2 a wkly comp to win FA Cup fina...\n",
       "3       0  U dun say so early hor... U c already then say...\n",
       "4       0  Nah I don't think he goes to usf, he lives aro..."
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(df['Target'].value_counts(), labels = ['ham', 'spam'], autopct = \"%0.2f\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0       Go until jurong point, crazy.. Available only ...\n",
      "1                           Ok lar... Joking wif u oni...\n",
      "2       Free entry in 2 a wkly comp to win FA Cup fina...\n",
      "3       U dun say so early hor... U c already then say...\n",
      "4       Nah I don't think he goes to usf, he lives aro...\n",
      "5       FreeMsg Hey there darling it's been 3 week's n...\n",
      "6       Even my brother is not like to speak with me. ...\n",
      "7       As per your request 'Melle Melle (Oru Minnamin...\n",
      "8       WINNER!! As a valued network customer you have...\n",
      "9       Had your mobile 11 months or more? U R entitle...\n",
      "10      I'm gonna be home soon and i don't want to tal...\n",
      "11      SIX chances to win CASH! From 100 to 20,000 po...\n",
      "12      URGENT! You have won a 1 week FREE membership ...\n",
      "13      I've been searching for the right words to tha...\n",
      "14                    I HAVE A DATE ON SUNDAY WITH WILL!!\n",
      "15      XXXMobileMovieClub: To use your credit, click ...\n",
      "16                             Oh k...i'm watching here:)\n",
      "17      Eh u remember how 2 spell his name... Yes i di...\n",
      "18      Fine if thatåÕs the way u feel. ThatåÕs the wa...\n",
      "19      England v Macedonia - dont miss the goals/team...\n",
      "20              Is that seriously how you spell his name?\n",
      "21      IÛ÷m going to try for 2 months ha ha only joking\n",
      "22      So Ì_ pay first lar... Then when is da stock c...\n",
      "23      Aft i finish my lunch then i go str down lor. ...\n",
      "24      Ffffffffff. Alright no way I can meet up with ...\n",
      "25      Just forced myself to eat a slice. I'm really ...\n",
      "26                         Lol your always so convincing.\n",
      "27      Did you catch the bus ? Are you frying an egg ...\n",
      "28      I'm back &amp; we're packing the car now, I'll...\n",
      "29      Ahhh. Work. I vaguely remember that! What does...\n",
      "                              ...                        \n",
      "5540    ASKED 3MOBILE IF 0870 CHATLINES INCLU IN FREE ...\n",
      "5541                                Yeah it's jus rite...\n",
      "5542             Armand says get your ass over to epsilon\n",
      "5543               U still havent got urself a jacket ah?\n",
      "5544    I'm taking derek &amp; taylor to walmart, if I...\n",
      "5545        Hi its in durban are you still on this number\n",
      "5546           Ic. There are a lotta childporn cars then.\n",
      "5547    Had your contract mobile 11 Mnths? Latest Moto...\n",
      "5548                   No, I was trying it all weekend ;V\n",
      "5549    You know, wot people wear. T shirts, jumpers, ...\n",
      "5550          Cool, what time you think you can get here?\n",
      "5551    Wen did you get so spiritual and deep. That's ...\n",
      "5552    Have a safe trip to Nigeria. Wish you happines...\n",
      "5554    Well keep in mind I've only got enough gas for...\n",
      "5555    Yeh. Indians was nice. Tho it did kane me off ...\n",
      "5556    Yes i have. So that's why u texted. Pshew...mi...\n",
      "5557    No. I meant the calculation is the same. That ...\n",
      "5559    if you aren't here in the next  &lt;#&gt;  hou...\n",
      "5560                    Anything lor. Juz both of us lor.\n",
      "5561    Get me out of this dump heap. My mom decided t...\n",
      "5562    Ok lor... Sony ericsson salesman... I ask shuh...\n",
      "5563                                  Ard 6 like dat lor.\n",
      "5564    Why don't you wait 'til at least wednesday to ...\n",
      "5565                                         Huh y lei...\n",
      "5566    REMINDER FROM O2: To get 2.50 pounds free call...\n",
      "5567    This is the 2nd time we have tried 2 contact u...\n",
      "5568                Will Ì_ b going to esplanade fr home?\n",
      "5569    Pity, * was in mood for that. So...any other s...\n",
      "5570    The guy did some bitching but I acted like i'd...\n",
      "5571                           Rofl. Its true to its name\n",
      "Name: Message, Length: 5169, dtype: object\n"
     ]
    }
   ],
   "source": [
    "x=df['Message']\n",
    "y=df['Target']\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       0\n",
       "1       0\n",
       "2       1\n",
       "3       0\n",
       "4       0\n",
       "5       1\n",
       "6       0\n",
       "7       0\n",
       "8       1\n",
       "9       1\n",
       "10      0\n",
       "11      1\n",
       "12      1\n",
       "13      0\n",
       "14      0\n",
       "15      1\n",
       "16      0\n",
       "17      0\n",
       "18      0\n",
       "19      1\n",
       "20      0\n",
       "21      0\n",
       "22      0\n",
       "23      0\n",
       "24      0\n",
       "25      0\n",
       "26      0\n",
       "27      0\n",
       "28      0\n",
       "29      0\n",
       "       ..\n",
       "5540    1\n",
       "5541    0\n",
       "5542    0\n",
       "5543    0\n",
       "5544    0\n",
       "5545    0\n",
       "5546    0\n",
       "5547    1\n",
       "5548    0\n",
       "5549    0\n",
       "5550    0\n",
       "5551    0\n",
       "5552    0\n",
       "5554    0\n",
       "5555    0\n",
       "5556    0\n",
       "5557    0\n",
       "5559    0\n",
       "5560    0\n",
       "5561    0\n",
       "5562    0\n",
       "5563    0\n",
       "5564    0\n",
       "5565    0\n",
       "5566    1\n",
       "5567    1\n",
       "5568    0\n",
       "5569    0\n",
       "5570    0\n",
       "5571    0\n",
       "Name: Target, Length: 5169, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import  CountVectorizer\n",
    "from sklearn import svm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv=CountVectorizer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train_cv = cv.fit_transform(x_train)\n",
    "x_test_cv = cv.transform(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  (0, 1274)\t1\n",
      "  (0, 2886)\t1\n",
      "  (0, 4850)\t1\n",
      "  (0, 3234)\t1\n",
      "  (0, 2626)\t1\n",
      "  (0, 7600)\t1\n",
      "  (0, 3300)\t1\n",
      "  (1, 5131)\t1\n",
      "  (1, 2092)\t1\n",
      "  (1, 3578)\t1\n",
      "  (1, 6391)\t1\n",
      "  (2, 6968)\t1\n",
      "  (2, 6188)\t1\n",
      "  (2, 4757)\t1\n",
      "  (2, 5760)\t1\n",
      "  (2, 6839)\t1\n",
      "  (2, 3179)\t1\n",
      "  (2, 3300)\t1\n",
      "  (3, 14)\t1\n",
      "  (3, 256)\t1\n",
      "  (3, 19)\t1\n",
      "  (3, 2678)\t1\n",
      "  (3, 465)\t1\n",
      "  (3, 1837)\t1\n",
      "  (3, 3531)\t1\n",
      "  :\t:\n",
      "  (4133, 2085)\t1\n",
      "  (4133, 4343)\t1\n",
      "  (4133, 6696)\t2\n",
      "  (4133, 6748)\t1\n",
      "  (4133, 7418)\t1\n",
      "  (4133, 1983)\t1\n",
      "  (4133, 7373)\t1\n",
      "  (4133, 4844)\t1\n",
      "  (4133, 1021)\t1\n",
      "  (4133, 7443)\t1\n",
      "  (4133, 4887)\t2\n",
      "  (4133, 6839)\t1\n",
      "  (4134, 2423)\t1\n",
      "  (4134, 5449)\t1\n",
      "  (4134, 854)\t1\n",
      "  (4134, 3989)\t1\n",
      "  (4134, 4003)\t1\n",
      "  (4134, 5435)\t1\n",
      "  (4134, 3418)\t1\n",
      "  (4134, 3538)\t1\n",
      "  (4134, 1326)\t1\n",
      "  (4134, 4042)\t1\n",
      "  (4134, 1092)\t1\n",
      "  (4134, 1597)\t1\n",
      "  (4134, 5760)\t1\n"
     ]
    }
   ],
   "source": [
    "print(x_train_cv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "lr=LogisticRegression() #creating model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "lr.fit(x_train_cv,y_train)\n",
    "prediction_train=lr.predict(x_train_cv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "99.78234582829504\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "print(accuracy_score(y_train, prediction_train)*100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "prediction_test = lr.predict(x_test_cv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "98.06576402321083\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "print(accuracy_score(y_test, prediction_test)*100)"
   ]
  }
 ],
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   "display_name": "Python 3",
   "language": "python",
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