Data_scaling_with_Std_Scaler.ipynb

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      "source": [
        "import numpy as np \n",
        "import pandas as pd \n",
        "import warnings \n",
        "warnings.filterwarnings (\"ignore\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df=pd.read_csv(\"cars.csv\")\n",
        "df.head()"
      ],
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          "height": 320
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              "   symboling normalized-losses         make fuel-type   body-style  \\\n",
              "0          3                 ?  alfa-romero       gas  convertible   \n",
              "1          3                 ?  alfa-romero       gas  convertible   \n",
              "2          1                 ?  alfa-romero       gas    hatchback   \n",
              "3          2               164         audi       gas        sedan   \n",
              "4          2               164         audi       gas        sedan   \n",
              "\n",
              "  drive-wheels engine-location  width  height engine-type  engine-size  \\\n",
              "0          rwd           front   64.1    48.8        dohc          130   \n",
              "1          rwd           front   64.1    48.8        dohc          130   \n",
              "2          rwd           front   65.5    52.4        ohcv          152   \n",
              "3          fwd           front   66.2    54.3         ohc          109   \n",
              "4          4wd           front   66.4    54.3         ohc          136   \n",
              "\n",
              "  horsepower  city-mpg  highway-mpg  price  \n",
              "0        111        21           27  13495  \n",
              "1        111        21           27  16500  \n",
              "2        154        19           26  16500  \n",
              "3        102        24           30  13950  \n",
              "4        115        18           22  17450  "
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              "      <th>symboling</th>\n",
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              "      <td>1</td>\n",
              "      <td>?</td>\n",
              "      <td>alfa-romero</td>\n",
              "      <td>gas</td>\n",
              "      <td>hatchback</td>\n",
              "      <td>rwd</td>\n",
              "      <td>front</td>\n",
              "      <td>65.5</td>\n",
              "      <td>52.4</td>\n",
              "      <td>ohcv</td>\n",
              "      <td>152</td>\n",
              "      <td>154</td>\n",
              "      <td>19</td>\n",
              "      <td>26</td>\n",
              "      <td>16500</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>164</td>\n",
              "      <td>audi</td>\n",
              "      <td>gas</td>\n",
              "      <td>sedan</td>\n",
              "      <td>fwd</td>\n",
              "      <td>front</td>\n",
              "      <td>66.2</td>\n",
              "      <td>54.3</td>\n",
              "      <td>ohc</td>\n",
              "      <td>109</td>\n",
              "      <td>102</td>\n",
              "      <td>24</td>\n",
              "      <td>30</td>\n",
              "      <td>13950</td>\n",
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              "      <td>2</td>\n",
              "      <td>164</td>\n",
              "      <td>audi</td>\n",
              "      <td>gas</td>\n",
              "      <td>sedan</td>\n",
              "      <td>4wd</td>\n",
              "      <td>front</td>\n",
              "      <td>66.4</td>\n",
              "      <td>54.3</td>\n",
              "      <td>ohc</td>\n",
              "      <td>136</td>\n",
              "      <td>115</td>\n",
              "      <td>18</td>\n",
              "      <td>22</td>\n",
              "      <td>17450</td>\n",
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    {
      "cell_type": "code",
      "source": [
        "df[\"normalized-losses\"].replace(\"?\",np.nan,inplace=True)"
      ],
      "metadata": {
        "id": "Y16JwYEWuQ7P"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"horsepower\"].replace(\"?\",np.nan,inplace=True)"
      ],
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      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.impute import SimpleImputer\n",
        "si=SimpleImputer(missing_values=np.nan,strategy=\"mean\")\n",
        "df[[\"horsepower\",\"normalized-losses\"]]=si.fit_transform(df[[\"horsepower\",\"normalized-losses\"]])\n",
        "df"
      ],
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      "outputs": [
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          "data": {
            "text/plain": [
              "     symboling  normalized-losses         make fuel-type   body-style  \\\n",
              "0            3              122.0  alfa-romero       gas  convertible   \n",
              "1            3              122.0  alfa-romero       gas  convertible   \n",
              "2            1              122.0  alfa-romero       gas    hatchback   \n",
              "3            2              164.0         audi       gas        sedan   \n",
              "4            2              164.0         audi       gas        sedan   \n",
              "..         ...                ...          ...       ...          ...   \n",
              "200         -1               95.0        volvo       gas        sedan   \n",
              "201         -1               95.0        volvo       gas        sedan   \n",
              "202         -1               95.0        volvo       gas        sedan   \n",
              "203         -1               95.0        volvo    diesel        sedan   \n",
              "204         -1               95.0        volvo       gas        sedan   \n",
              "\n",
              "    drive-wheels engine-location  width  height engine-type  engine-size  \\\n",
              "0            rwd           front   64.1    48.8        dohc          130   \n",
              "1            rwd           front   64.1    48.8        dohc          130   \n",
              "2            rwd           front   65.5    52.4        ohcv          152   \n",
              "3            fwd           front   66.2    54.3         ohc          109   \n",
              "4            4wd           front   66.4    54.3         ohc          136   \n",
              "..           ...             ...    ...     ...         ...          ...   \n",
              "200          rwd           front   68.9    55.5         ohc          141   \n",
              "201          rwd           front   68.8    55.5         ohc          141   \n",
              "202          rwd           front   68.9    55.5        ohcv          173   \n",
              "203          rwd           front   68.9    55.5         ohc          145   \n",
              "204          rwd           front   68.9    55.5         ohc          141   \n",
              "\n",
              "     horsepower  city-mpg  highway-mpg  price  \n",
              "0         111.0        21           27  13495  \n",
              "1         111.0        21           27  16500  \n",
              "2         154.0        19           26  16500  \n",
              "3         102.0        24           30  13950  \n",
              "4         115.0        18           22  17450  \n",
              "..          ...       ...          ...    ...  \n",
              "200       114.0        23           28  16845  \n",
              "201       160.0        19           25  19045  \n",
              "202       134.0        18           23  21485  \n",
              "203       106.0        26           27  22470  \n",
              "204       114.0        19           25  22625  \n",
              "\n",
              "[205 rows x 15 columns]"
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              "      <th></th>\n",
              "      <th>symboling</th>\n",
              "      <th>normalized-losses</th>\n",
              "      <th>make</th>\n",
              "      <th>fuel-type</th>\n",
              "      <th>body-style</th>\n",
              "      <th>drive-wheels</th>\n",
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              "      <th>engine-size</th>\n",
              "      <th>horsepower</th>\n",
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              "      <th>0</th>\n",
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              "      <td>122.0</td>\n",
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              "      <td>convertible</td>\n",
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              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>122.0</td>\n",
              "      <td>alfa-romero</td>\n",
              "      <td>gas</td>\n",
              "      <td>hatchback</td>\n",
              "      <td>rwd</td>\n",
              "      <td>front</td>\n",
              "      <td>65.5</td>\n",
              "      <td>52.4</td>\n",
              "      <td>ohcv</td>\n",
              "      <td>152</td>\n",
              "      <td>154.0</td>\n",
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              "      <td>26</td>\n",
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              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>164.0</td>\n",
              "      <td>audi</td>\n",
              "      <td>gas</td>\n",
              "      <td>sedan</td>\n",
              "      <td>fwd</td>\n",
              "      <td>front</td>\n",
              "      <td>66.2</td>\n",
              "      <td>54.3</td>\n",
              "      <td>ohc</td>\n",
              "      <td>109</td>\n",
              "      <td>102.0</td>\n",
              "      <td>24</td>\n",
              "      <td>30</td>\n",
              "      <td>13950</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2</td>\n",
              "      <td>164.0</td>\n",
              "      <td>audi</td>\n",
              "      <td>gas</td>\n",
              "      <td>sedan</td>\n",
              "      <td>4wd</td>\n",
              "      <td>front</td>\n",
              "      <td>66.4</td>\n",
              "      <td>54.3</td>\n",
              "      <td>ohc</td>\n",
              "      <td>136</td>\n",
              "      <td>115.0</td>\n",
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              "      <th>200</th>\n",
              "      <td>-1</td>\n",
              "      <td>95.0</td>\n",
              "      <td>volvo</td>\n",
              "      <td>gas</td>\n",
              "      <td>sedan</td>\n",
              "      <td>rwd</td>\n",
              "      <td>front</td>\n",
              "      <td>68.9</td>\n",
              "      <td>55.5</td>\n",
              "      <td>ohc</td>\n",
              "      <td>141</td>\n",
              "      <td>114.0</td>\n",
              "      <td>23</td>\n",
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              "      <td>16845</td>\n",
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              "      <th>201</th>\n",
              "      <td>-1</td>\n",
              "      <td>95.0</td>\n",
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              "      <td>gas</td>\n",
              "      <td>sedan</td>\n",
              "      <td>rwd</td>\n",
              "      <td>front</td>\n",
              "      <td>68.8</td>\n",
              "      <td>55.5</td>\n",
              "      <td>ohc</td>\n",
              "      <td>141</td>\n",
              "      <td>160.0</td>\n",
              "      <td>19</td>\n",
              "      <td>25</td>\n",
              "      <td>19045</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>202</th>\n",
              "      <td>-1</td>\n",
              "      <td>95.0</td>\n",
              "      <td>volvo</td>\n",
              "      <td>gas</td>\n",
              "      <td>sedan</td>\n",
              "      <td>rwd</td>\n",
              "      <td>front</td>\n",
              "      <td>68.9</td>\n",
              "      <td>55.5</td>\n",
              "      <td>ohcv</td>\n",
              "      <td>173</td>\n",
              "      <td>134.0</td>\n",
              "      <td>18</td>\n",
              "      <td>23</td>\n",
              "      <td>21485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>203</th>\n",
              "      <td>-1</td>\n",
              "      <td>95.0</td>\n",
              "      <td>volvo</td>\n",
              "      <td>diesel</td>\n",
              "      <td>sedan</td>\n",
              "      <td>rwd</td>\n",
              "      <td>front</td>\n",
              "      <td>68.9</td>\n",
              "      <td>55.5</td>\n",
              "      <td>ohc</td>\n",
              "      <td>145</td>\n",
              "      <td>106.0</td>\n",
              "      <td>26</td>\n",
              "      <td>27</td>\n",
              "      <td>22470</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>204</th>\n",
              "      <td>-1</td>\n",
              "      <td>95.0</td>\n",
              "      <td>volvo</td>\n",
              "      <td>gas</td>\n",
              "      <td>sedan</td>\n",
              "      <td>rwd</td>\n",
              "      <td>front</td>\n",
              "      <td>68.9</td>\n",
              "      <td>55.5</td>\n",
              "      <td>ohc</td>\n",
              "      <td>141</td>\n",
              "      <td>114.0</td>\n",
              "      <td>19</td>\n",
              "      <td>25</td>\n",
              "      <td>22625</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>205 rows × 15 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4a7a96a7-2512-4a42-932c-7c16e6546ac9')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "      \n",
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              "    .colab-df-container {\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-4a7a96a7-2512-4a42-932c-7c16e6546ac9 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-4a7a96a7-2512-4a42-932c-7c16e6546ac9');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "catcol=df.select_dtypes(object).columns\n",
        "catcol"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4RWiFzNDyHXp",
        "outputId": "ba48c0d1-81f9-476b-9221-2862d611abfe"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['make', 'fuel-type', 'body-style', 'drive-wheels', 'engine-location',\n",
              "       'engine-type'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import OrdinalEncoder \n",
        "oe=OrdinalEncoder() \n",
        "df[catcol]=oe.fit_transform(df[catcol])\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 485
        },
        "id": "_BJG46gIx6B4",
        "outputId": "c5dcab13-6f50-409a-c2a4-6214806723a3"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     symboling  normalized-losses  make  fuel-type  body-style  drive-wheels  \\\n",
              "0            3              122.0   0.0        1.0         0.0           2.0   \n",
              "1            3              122.0   0.0        1.0         0.0           2.0   \n",
              "2            1              122.0   0.0        1.0         2.0           2.0   \n",
              "3            2              164.0   1.0        1.0         3.0           1.0   \n",
              "4            2              164.0   1.0        1.0         3.0           0.0   \n",
              "..         ...                ...   ...        ...         ...           ...   \n",
              "200         -1               95.0  21.0        1.0         3.0           2.0   \n",
              "201         -1               95.0  21.0        1.0         3.0           2.0   \n",
              "202         -1               95.0  21.0        1.0         3.0           2.0   \n",
              "203         -1               95.0  21.0        0.0         3.0           2.0   \n",
              "204         -1               95.0  21.0        1.0         3.0           2.0   \n",
              "\n",
              "     engine-location  width  height  engine-type  engine-size  horsepower  \\\n",
              "0                0.0   64.1    48.8          0.0          130       111.0   \n",
              "1                0.0   64.1    48.8          0.0          130       111.0   \n",
              "2                0.0   65.5    52.4          5.0          152       154.0   \n",
              "3                0.0   66.2    54.3          3.0          109       102.0   \n",
              "4                0.0   66.4    54.3          3.0          136       115.0   \n",
              "..               ...    ...     ...          ...          ...         ...   \n",
              "200              0.0   68.9    55.5          3.0          141       114.0   \n",
              "201              0.0   68.8    55.5          3.0          141       160.0   \n",
              "202              0.0   68.9    55.5          5.0          173       134.0   \n",
              "203              0.0   68.9    55.5          3.0          145       106.0   \n",
              "204              0.0   68.9    55.5          3.0          141       114.0   \n",
              "\n",
              "     city-mpg  highway-mpg  price  \n",
              "0          21           27  13495  \n",
              "1          21           27  16500  \n",
              "2          19           26  16500  \n",
              "3          24           30  13950  \n",
              "4          18           22  17450  \n",
              "..        ...          ...    ...  \n",
              "200        23           28  16845  \n",
              "201        19           25  19045  \n",
              "202        18           23  21485  \n",
              "203        26           27  22470  \n",
              "204        19           25  22625  \n",
              "\n",
              "[205 rows x 15 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1ad27511-e0fe-415f-9479-7e6f69ff020d\">\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>symboling</th>\n",
              "      <th>normalized-losses</th>\n",
              "      <th>make</th>\n",
              "      <th>fuel-type</th>\n",
              "      <th>body-style</th>\n",
              "      <th>drive-wheels</th>\n",
              "      <th>engine-location</th>\n",
              "      <th>width</th>\n",
              "      <th>height</th>\n",
              "      <th>engine-type</th>\n",
              "      <th>engine-size</th>\n",
              "      <th>horsepower</th>\n",
              "      <th>city-mpg</th>\n",
              "      <th>highway-mpg</th>\n",
              "      <th>price</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3</td>\n",
              "      <td>122.0</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>13495</td>\n",
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              "      <th>1</th>\n",
              "      <td>3</td>\n",
              "      <td>122.0</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>64.1</td>\n",
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              "      <td>111.0</td>\n",
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              "      <td>27</td>\n",
              "      <td>16500</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1</td>\n",
              "      <td>122.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>65.5</td>\n",
              "      <td>52.4</td>\n",
              "      <td>5.0</td>\n",
              "      <td>152</td>\n",
              "      <td>154.0</td>\n",
              "      <td>19</td>\n",
              "      <td>26</td>\n",
              "      <td>16500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>164.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>66.2</td>\n",
              "      <td>54.3</td>\n",
              "      <td>3.0</td>\n",
              "      <td>109</td>\n",
              "      <td>102.0</td>\n",
              "      <td>24</td>\n",
              "      <td>30</td>\n",
              "      <td>13950</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2</td>\n",
              "      <td>164.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>66.4</td>\n",
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              "      <td>22</td>\n",
              "      <td>17450</td>\n",
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              "      <td>...</td>\n",
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              "      <td>...</td>\n",
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              "      <td>...</td>\n",
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              "      <th>200</th>\n",
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              "      <td>95.0</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
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              "      <td>114.0</td>\n",
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              "      <td>16845</td>\n",
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              "    <tr>\n",
              "      <th>201</th>\n",
              "      <td>-1</td>\n",
              "      <td>95.0</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>68.8</td>\n",
              "      <td>55.5</td>\n",
              "      <td>3.0</td>\n",
              "      <td>141</td>\n",
              "      <td>160.0</td>\n",
              "      <td>19</td>\n",
              "      <td>25</td>\n",
              "      <td>19045</td>\n",
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              "    <tr>\n",
              "      <th>202</th>\n",
              "      <td>-1</td>\n",
              "      <td>95.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>68.9</td>\n",
              "      <td>55.5</td>\n",
              "      <td>5.0</td>\n",
              "      <td>173</td>\n",
              "      <td>134.0</td>\n",
              "      <td>18</td>\n",
              "      <td>23</td>\n",
              "      <td>21485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>203</th>\n",
              "      <td>-1</td>\n",
              "      <td>95.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>68.9</td>\n",
              "      <td>55.5</td>\n",
              "      <td>3.0</td>\n",
              "      <td>145</td>\n",
              "      <td>106.0</td>\n",
              "      <td>26</td>\n",
              "      <td>27</td>\n",
              "      <td>22470</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>204</th>\n",
              "      <td>-1</td>\n",
              "      <td>95.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>68.9</td>\n",
              "      <td>55.5</td>\n",
              "      <td>3.0</td>\n",
              "      <td>141</td>\n",
              "      <td>114.0</td>\n",
              "      <td>19</td>\n",
              "      <td>25</td>\n",
              "      <td>22625</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>205 rows × 15 columns</p>\n",
              "</div>\n",
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              "\n",
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              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-1ad27511-e0fe-415f-9479-7e6f69ff020d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-1ad27511-e0fe-415f-9479-7e6f69ff020d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Standard Scaler**"
      ],
      "metadata": {
        "id": "CdSzG2UDyLhT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import StandardScaler \n",
        "ss=StandardScaler()\n",
        "df.iloc[:,:-1]=ss.fit_transform(df.iloc[:,:-1])\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 485
        },
        "id": "dh9Uy_S4-bzP",
        "outputId": "1e50c118-cf62-4c65-cb70-cf98bf4f9ebc"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     symboling  normalized-losses      make  fuel-type  body-style  \\\n",
              "0     1.743470           0.000000 -1.948256   0.328798   -3.050975   \n",
              "1     1.743470           0.000000 -1.948256   0.328798   -3.050975   \n",
              "2     0.133509           0.000000 -1.948256   0.328798   -0.717207   \n",
              "3     0.938490           1.328961 -1.788499   0.328798    0.449677   \n",
              "4     0.938490           1.328961 -1.788499   0.328798    0.449677   \n",
              "..         ...                ...       ...        ...         ...   \n",
              "200  -1.476452          -0.854332  1.406641   0.328798    0.449677   \n",
              "201  -1.476452          -0.854332  1.406641   0.328798    0.449677   \n",
              "202  -1.476452          -0.854332  1.406641   0.328798    0.449677   \n",
              "203  -1.476452          -0.854332  1.406641  -3.041381    0.449677   \n",
              "204  -1.476452          -0.854332  1.406641   0.328798    0.449677   \n",
              "\n",
              "     drive-wheels  engine-location     width    height  engine-type  \\\n",
              "0        1.213330        -0.121867 -0.844782 -2.020417    -2.865105   \n",
              "1        1.213330        -0.121867 -0.844782 -2.020417    -2.865105   \n",
              "2        1.213330        -0.121867 -0.190566 -0.543527     1.886890   \n",
              "3       -0.589081        -0.121867  0.136542  0.235942    -0.013908   \n",
              "4       -2.391492        -0.121867  0.230001  0.235942    -0.013908   \n",
              "..            ...              ...       ...       ...          ...   \n",
              "200      1.213330        -0.121867  1.398245  0.728239    -0.013908   \n",
              "201      1.213330        -0.121867  1.351515  0.728239    -0.013908   \n",
              "202      1.213330        -0.121867  1.398245  0.728239     1.886890   \n",
              "203      1.213330        -0.121867  1.398245  0.728239    -0.013908   \n",
              "204      1.213330        -0.121867  1.398245  0.728239    -0.013908   \n",
              "\n",
              "     engine-size  horsepower  city-mpg  highway-mpg  price  \n",
              "0       0.074449    0.171065 -0.646553    -0.546059  13495  \n",
              "1       0.074449    0.171065 -0.646553    -0.546059  16500  \n",
              "2       0.604046    1.261807 -0.953012    -0.691627  16500  \n",
              "3      -0.431076   -0.057230 -0.186865    -0.109354  13950  \n",
              "4       0.218885    0.272529 -1.106241    -1.273900  17450  \n",
              "..           ...         ...       ...          ...    ...  \n",
              "200     0.339248    0.247163 -0.340094    -0.400490  16845  \n",
              "201     0.339248    1.414003 -0.953012    -0.837195  19045  \n",
              "202     1.109571    0.754485 -1.106241    -1.128332  21485  \n",
              "203     0.435538    0.044234  0.119594    -0.546059  22470  \n",
              "204     0.339248    0.247163 -0.953012    -0.837195  22625  \n",
              "\n",
              "[205 rows x 15 columns]"
            ],
            "text/html": [
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              "      <div>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>symboling</th>\n",
              "      <th>normalized-losses</th>\n",
              "      <th>make</th>\n",
              "      <th>fuel-type</th>\n",
              "      <th>body-style</th>\n",
              "      <th>drive-wheels</th>\n",
              "      <th>engine-location</th>\n",
              "      <th>width</th>\n",
              "      <th>height</th>\n",
              "      <th>engine-type</th>\n",
              "      <th>engine-size</th>\n",
              "      <th>horsepower</th>\n",
              "      <th>city-mpg</th>\n",
              "      <th>highway-mpg</th>\n",
              "      <th>price</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.743470</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-1.948256</td>\n",
              "      <td>0.328798</td>\n",
              "      <td>-3.050975</td>\n",
              "      <td>1.213330</td>\n",
              "      <td>-0.121867</td>\n",
              "      <td>-0.844782</td>\n",
              "      <td>-2.020417</td>\n",
              "      <td>-2.865105</td>\n",
              "      <td>0.074449</td>\n",
              "      <td>0.171065</td>\n",
              "      <td>-0.646553</td>\n",
              "      <td>-0.546059</td>\n",
              "      <td>13495</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1.743470</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-1.948256</td>\n",
              "      <td>0.328798</td>\n",
              "      <td>-3.050975</td>\n",
              "      <td>1.213330</td>\n",
              "      <td>-0.121867</td>\n",
              "      <td>-0.844782</td>\n",
              "      <td>-2.020417</td>\n",
              "      <td>-2.865105</td>\n",
              "      <td>0.074449</td>\n",
              "      <td>0.171065</td>\n",
              "      <td>-0.646553</td>\n",
              "      <td>-0.546059</td>\n",
              "      <td>16500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.133509</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-1.948256</td>\n",
              "      <td>0.328798</td>\n",
              "      <td>-0.717207</td>\n",
              "      <td>1.213330</td>\n",
              "      <td>-0.121867</td>\n",
              "      <td>-0.190566</td>\n",
              "      <td>-0.543527</td>\n",
              "      <td>1.886890</td>\n",
              "      <td>0.604046</td>\n",
              "      <td>1.261807</td>\n",
              "      <td>-0.953012</td>\n",
              "      <td>-0.691627</td>\n",
              "      <td>16500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.938490</td>\n",
              "      <td>1.328961</td>\n",
              "      <td>-1.788499</td>\n",
              "      <td>0.328798</td>\n",
              "      <td>0.449677</td>\n",
              "      <td>-0.589081</td>\n",
              "      <td>-0.121867</td>\n",
              "      <td>0.136542</td>\n",
              "      <td>0.235942</td>\n",
              "      <td>-0.013908</td>\n",
              "      <td>-0.431076</td>\n",
              "      <td>-0.057230</td>\n",
              "      <td>-0.186865</td>\n",
              "      <td>-0.109354</td>\n",
              "      <td>13950</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.938490</td>\n",
              "      <td>1.328961</td>\n",
              "      <td>-1.788499</td>\n",
              "      <td>0.328798</td>\n",
              "      <td>0.449677</td>\n",
              "      <td>-2.391492</td>\n",
              "      <td>-0.121867</td>\n",
              "      <td>0.230001</td>\n",
              "      <td>0.235942</td>\n",
              "      <td>-0.013908</td>\n",
              "      <td>0.218885</td>\n",
              "      <td>0.272529</td>\n",
              "      <td>-1.106241</td>\n",
              "      <td>-1.273900</td>\n",
              "      <td>17450</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
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              "      <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",
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              "    <tr>\n",
              "      <th>200</th>\n",
              "      <td>-1.476452</td>\n",
              "      <td>-0.854332</td>\n",
              "      <td>1.406641</td>\n",
              "      <td>0.328798</td>\n",
              "      <td>0.449677</td>\n",
              "      <td>1.213330</td>\n",
              "      <td>-0.121867</td>\n",
              "      <td>1.398245</td>\n",
              "      <td>0.728239</td>\n",
              "      <td>-0.013908</td>\n",
              "      <td>0.339248</td>\n",
              "      <td>0.247163</td>\n",
              "      <td>-0.340094</td>\n",
              "      <td>-0.400490</td>\n",
              "      <td>16845</td>\n",
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              "    <tr>\n",
              "      <th>201</th>\n",
              "      <td>-1.476452</td>\n",
              "      <td>-0.854332</td>\n",
              "      <td>1.406641</td>\n",
              "      <td>0.328798</td>\n",
              "      <td>0.449677</td>\n",
              "      <td>1.213330</td>\n",
              "      <td>-0.121867</td>\n",
              "      <td>1.351515</td>\n",
              "      <td>0.728239</td>\n",
              "      <td>-0.013908</td>\n",
              "      <td>0.339248</td>\n",
              "      <td>1.414003</td>\n",
              "      <td>-0.953012</td>\n",
              "      <td>-0.837195</td>\n",
              "      <td>19045</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>202</th>\n",
              "      <td>-1.476452</td>\n",
              "      <td>-0.854332</td>\n",
              "      <td>1.406641</td>\n",
              "      <td>0.328798</td>\n",
              "      <td>0.449677</td>\n",
              "      <td>1.213330</td>\n",
              "      <td>-0.121867</td>\n",
              "      <td>1.398245</td>\n",
              "      <td>0.728239</td>\n",
              "      <td>1.886890</td>\n",
              "      <td>1.109571</td>\n",
              "      <td>0.754485</td>\n",
              "      <td>-1.106241</td>\n",
              "      <td>-1.128332</td>\n",
              "      <td>21485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>203</th>\n",
              "      <td>-1.476452</td>\n",
              "      <td>-0.854332</td>\n",
              "      <td>1.406641</td>\n",
              "      <td>-3.041381</td>\n",
              "      <td>0.449677</td>\n",
              "      <td>1.213330</td>\n",
              "      <td>-0.121867</td>\n",
              "      <td>1.398245</td>\n",
              "      <td>0.728239</td>\n",
              "      <td>-0.013908</td>\n",
              "      <td>0.435538</td>\n",
              "      <td>0.044234</td>\n",
              "      <td>0.119594</td>\n",
              "      <td>-0.546059</td>\n",
              "      <td>22470</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>204</th>\n",
              "      <td>-1.476452</td>\n",
              "      <td>-0.854332</td>\n",
              "      <td>1.406641</td>\n",
              "      <td>0.328798</td>\n",
              "      <td>0.449677</td>\n",
              "      <td>1.213330</td>\n",
              "      <td>-0.121867</td>\n",
              "      <td>1.398245</td>\n",
              "      <td>0.728239</td>\n",
              "      <td>-0.013908</td>\n",
              "      <td>0.339248</td>\n",
              "      <td>0.247163</td>\n",
              "      <td>-0.953012</td>\n",
              "      <td>-0.837195</td>\n",
              "      <td>22625</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>205 rows × 15 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1ca13c6f-a4ee-4aeb-bc74-f6ee1942f029')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "    .colab-df-convert {\n",
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              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-1ca13c6f-a4ee-4aeb-bc74-f6ee1942f029 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-1ca13c6f-a4ee-4aeb-bc74-f6ee1942f029');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Standard Scaler brings all values in between Positive to Negative**"
      ],
      "metadata": {
        "id": "og6EQqTc_beh"
      }
    }
  ]
}