P_2_Mobile_Price_Classification.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNeYydhQ7CSlppZkx7CFFK/",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/sunny0625/ML-Project/blob/master/P_2_Mobile_Price_Classification.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "DjiOdnbmhVLZ"
      },
      "outputs": [],
      "source": [
        "# Importing pandas model\n",
        "import pandas as pd"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# !git clone git@github.com:sunny0625/ML-Project.git"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O-VLsr2uvQo-",
        "outputId": "d7eb78bd-a56c-4d23-b623-0f0708a41dab"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'ML-Project'...\n",
            "Host key verification failed.\n",
            "fatal: Could not read from remote repository.\n",
            "\n",
            "Please make sure you have the correct access rights\n",
            "and the repository exists.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Importing Dataset\n",
        "price_data = pd.read_csv(\"https://www.dropbox.com/s/iy0w25eunwx2qlq/MobilePriceClassification.csv?dl=1\")"
      ],
      "metadata": {
        "id": "8LTWlw3xjvjb"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Exploring Dataset\n",
        "price_data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "id": "gfPEM0agj_9o",
        "outputId": "9bcebfd7-da2f-4780-e885-734e2ce5963c"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  m_dep  \\\n",
              "0            842     0          2.2         0   1       0           7    0.6   \n",
              "1           1021     1          0.5         1   0       1          53    0.7   \n",
              "2            563     1          0.5         1   2       1          41    0.9   \n",
              "3            615     1          2.5         0   0       0          10    0.8   \n",
              "4           1821     1          1.2         0  13       1          44    0.6   \n",
              "\n",
              "   mobile_wt  n_cores  ...  px_height  px_width   ram  sc_h  sc_w  talk_time  \\\n",
              "0        188        2  ...         20       756  2549     9     7         19   \n",
              "1        136        3  ...        905      1988  2631    17     3          7   \n",
              "2        145        5  ...       1263      1716  2603    11     2          9   \n",
              "3        131        6  ...       1216      1786  2769    16     8         11   \n",
              "4        141        2  ...       1208      1212  1411     8     2         15   \n",
              "\n",
              "   three_g  touch_screen  wifi  price_range  \n",
              "0        0             0     1            1  \n",
              "1        1             1     0            2  \n",
              "2        1             1     0            2  \n",
              "3        1             0     0            2  \n",
              "4        1             1     0            1  \n",
              "\n",
              "[5 rows x 21 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9845e70a-0814-41cb-8725-9eb51c0a84a8\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>battery_power</th>\n",
              "      <th>blue</th>\n",
              "      <th>clock_speed</th>\n",
              "      <th>dual_sim</th>\n",
              "      <th>fc</th>\n",
              "      <th>four_g</th>\n",
              "      <th>int_memory</th>\n",
              "      <th>m_dep</th>\n",
              "      <th>mobile_wt</th>\n",
              "      <th>n_cores</th>\n",
              "      <th>...</th>\n",
              "      <th>px_height</th>\n",
              "      <th>px_width</th>\n",
              "      <th>ram</th>\n",
              "      <th>sc_h</th>\n",
              "      <th>sc_w</th>\n",
              "      <th>talk_time</th>\n",
              "      <th>three_g</th>\n",
              "      <th>touch_screen</th>\n",
              "      <th>wifi</th>\n",
              "      <th>price_range</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>842</td>\n",
              "      <td>0</td>\n",
              "      <td>2.2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>0.6</td>\n",
              "      <td>188</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>20</td>\n",
              "      <td>756</td>\n",
              "      <td>2549</td>\n",
              "      <td>9</td>\n",
              "      <td>7</td>\n",
              "      <td>19</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1021</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>53</td>\n",
              "      <td>0.7</td>\n",
              "      <td>136</td>\n",
              "      <td>3</td>\n",
              "      <td>...</td>\n",
              "      <td>905</td>\n",
              "      <td>1988</td>\n",
              "      <td>2631</td>\n",
              "      <td>17</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>563</td>\n",
              "      <td>1</td>\n",
              "      <td>0.5</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>41</td>\n",
              "      <td>0.9</td>\n",
              "      <td>145</td>\n",
              "      <td>5</td>\n",
              "      <td>...</td>\n",
              "      <td>1263</td>\n",
              "      <td>1716</td>\n",
              "      <td>2603</td>\n",
              "      <td>11</td>\n",
              "      <td>2</td>\n",
              "      <td>9</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>615</td>\n",
              "      <td>1</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>10</td>\n",
              "      <td>0.8</td>\n",
              "      <td>131</td>\n",
              "      <td>6</td>\n",
              "      <td>...</td>\n",
              "      <td>1216</td>\n",
              "      <td>1786</td>\n",
              "      <td>2769</td>\n",
              "      <td>16</td>\n",
              "      <td>8</td>\n",
              "      <td>11</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1821</td>\n",
              "      <td>1</td>\n",
              "      <td>1.2</td>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "      <td>1</td>\n",
              "      <td>44</td>\n",
              "      <td>0.6</td>\n",
              "      <td>141</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>1208</td>\n",
              "      <td>1212</td>\n",
              "      <td>1411</td>\n",
              "      <td>8</td>\n",
              "      <td>2</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 21 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9845e70a-0814-41cb-8725-9eb51c0a84a8')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      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-9845e70a-0814-41cb-8725-9eb51c0a84a8 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-9845e70a-0814-41cb-8725-9eb51c0a84a8');\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": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "price_data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KGn9eNM1kGGj",
        "outputId": "3eed138b-2267-4e3a-b0a8-12b06985715d"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 2000 entries, 0 to 1999\n",
            "Data columns (total 21 columns):\n",
            " #   Column         Non-Null Count  Dtype  \n",
            "---  ------         --------------  -----  \n",
            " 0   battery_power  2000 non-null   int64  \n",
            " 1   blue           2000 non-null   int64  \n",
            " 2   clock_speed    2000 non-null   float64\n",
            " 3   dual_sim       2000 non-null   int64  \n",
            " 4   fc             2000 non-null   int64  \n",
            " 5   four_g         2000 non-null   int64  \n",
            " 6   int_memory     2000 non-null   int64  \n",
            " 7   m_dep          2000 non-null   float64\n",
            " 8   mobile_wt      2000 non-null   int64  \n",
            " 9   n_cores        2000 non-null   int64  \n",
            " 10  pc             2000 non-null   int64  \n",
            " 11  px_height      2000 non-null   int64  \n",
            " 12  px_width       2000 non-null   int64  \n",
            " 13  ram            2000 non-null   int64  \n",
            " 14  sc_h           2000 non-null   int64  \n",
            " 15  sc_w           2000 non-null   int64  \n",
            " 16  talk_time      2000 non-null   int64  \n",
            " 17  three_g        2000 non-null   int64  \n",
            " 18  touch_screen   2000 non-null   int64  \n",
            " 19  wifi           2000 non-null   int64  \n",
            " 20  price_range    2000 non-null   int64  \n",
            "dtypes: float64(2), int64(19)\n",
            "memory usage: 328.2 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "price_data.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Mph0ZjQEkPLU",
        "outputId": "d217c48b-86bf-4c90-a4fa-caf1757503ed"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  m_dep  mobile_wt  n_cores  pc  px_height  px_width  ram   sc_h  sc_w  talk_time  three_g  touch_screen  wifi  price_range\n",
              "501            0     2.3          0         12  1       54          0.3    131        4        19  504        1089      2346  13    12    2          1        0             1     1              1\n",
              "1494           0     1.9          0         2   1       47          0.4    129        2        9   207        1177      3202  13    1     14         1        0             0     3              1\n",
              "1504           0     1.9          1         7   1       25          0.3    152        4        9   395        1853      1788  13    11    13         1        0             1     1              1\n",
              "                     1.5          0         12  1       34          0.7    142        8        15  507        973       2806  7     2     7          1        0             1     2              1\n",
              "1503           1     0.7          0         10  1       43          0.2    166        4        14  841        1304      2122  15    1     2          1        0             0     2              1\n",
              "                                                                                                                                                                                                ..\n",
              "972            1     1.7          0         0   1       54          0.7    107        3        4   681        1050      1900  16    8     19         1        0             1     1              1\n",
              "                     1.3          0         8   0       44          0.7    82         7        10  297        589       3925  7     6     7          0        1             0     3              1\n",
              "                     0.5          1         5   0       13          0.4    193        5        8   1392       1795      1615  11    6     13         0        1             0     1              1\n",
              "970            1     1.3          1         5   0       59          0.2    84         7        19  1765       1786      3675  12    0     12         0        0             0     3              1\n",
              "1998           1     1.2          0         8   0       31          0.6    196        8        19  50         1356      2311  17    9     18         1        1             0     2              1\n",
              "Length: 2000, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "price_data.corr()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 801
        },
        "id": "N1tEivFWkUMC",
        "outputId": "32a5cc9d-d982-4c26-dfea-f077e2e81739"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               battery_power      blue  clock_speed  dual_sim        fc  \\\n",
              "battery_power       1.000000  0.011252     0.011482 -0.041847  0.033334   \n",
              "blue                0.011252  1.000000     0.021419  0.035198  0.003593   \n",
              "clock_speed         0.011482  0.021419     1.000000 -0.001315 -0.000434   \n",
              "dual_sim           -0.041847  0.035198    -0.001315  1.000000 -0.029123   \n",
              "fc                  0.033334  0.003593    -0.000434 -0.029123  1.000000   \n",
              "four_g              0.015665  0.013443    -0.043073  0.003187 -0.016560   \n",
              "int_memory         -0.004004  0.041177     0.006545 -0.015679 -0.029133   \n",
              "m_dep               0.034085  0.004049    -0.014364 -0.022142 -0.001791   \n",
              "mobile_wt           0.001844 -0.008605     0.012350 -0.008979  0.023618   \n",
              "n_cores            -0.029727  0.036161    -0.005724 -0.024658 -0.013356   \n",
              "pc                  0.031441 -0.009952    -0.005245 -0.017143  0.644595   \n",
              "px_height           0.014901 -0.006872    -0.014523 -0.020875 -0.009990   \n",
              "px_width           -0.008402 -0.041533    -0.009476  0.014291 -0.005176   \n",
              "ram                -0.000653  0.026351     0.003443  0.041072  0.015099   \n",
              "sc_h               -0.029959 -0.002952    -0.029078 -0.011949 -0.011014   \n",
              "sc_w               -0.021421  0.000613    -0.007378 -0.016666 -0.012373   \n",
              "talk_time           0.052510  0.013934    -0.011432 -0.039404 -0.006829   \n",
              "three_g             0.011522 -0.030236    -0.046433 -0.014008  0.001793   \n",
              "touch_screen       -0.010516  0.010061     0.019756 -0.017117 -0.014828   \n",
              "wifi               -0.008343 -0.021863    -0.024471  0.022740  0.020085   \n",
              "price_range         0.200723  0.020573    -0.006606  0.017444  0.021998   \n",
              "\n",
              "                 four_g  int_memory     m_dep  mobile_wt   n_cores  ...  \\\n",
              "battery_power  0.015665   -0.004004  0.034085   0.001844 -0.029727  ...   \n",
              "blue           0.013443    0.041177  0.004049  -0.008605  0.036161  ...   \n",
              "clock_speed   -0.043073    0.006545 -0.014364   0.012350 -0.005724  ...   \n",
              "dual_sim       0.003187   -0.015679 -0.022142  -0.008979 -0.024658  ...   \n",
              "fc            -0.016560   -0.029133 -0.001791   0.023618 -0.013356  ...   \n",
              "four_g         1.000000    0.008690 -0.001823  -0.016537 -0.029706  ...   \n",
              "int_memory     0.008690    1.000000  0.006886  -0.034214 -0.028310  ...   \n",
              "m_dep         -0.001823    0.006886  1.000000   0.021756 -0.003504  ...   \n",
              "mobile_wt     -0.016537   -0.034214  0.021756   1.000000 -0.018989  ...   \n",
              "n_cores       -0.029706   -0.028310 -0.003504  -0.018989  1.000000  ...   \n",
              "pc            -0.005598   -0.033273  0.026282   0.018844 -0.001193  ...   \n",
              "px_height     -0.019236    0.010441  0.025263   0.000939 -0.006872  ...   \n",
              "px_width       0.007448   -0.008335  0.023566   0.000090  0.024480  ...   \n",
              "ram            0.007313    0.032813 -0.009434  -0.002581  0.004868  ...   \n",
              "sc_h           0.027166    0.037771 -0.025348  -0.033855 -0.000315  ...   \n",
              "sc_w           0.037005    0.011731 -0.018388  -0.020761  0.025826  ...   \n",
              "talk_time     -0.046628   -0.002790  0.017003   0.006209  0.013148  ...   \n",
              "three_g        0.584246   -0.009366 -0.012065   0.001551 -0.014733  ...   \n",
              "touch_screen   0.016758   -0.026999 -0.002638  -0.014368  0.023774  ...   \n",
              "wifi          -0.017620    0.006993 -0.028353  -0.000409 -0.009964  ...   \n",
              "price_range    0.014772    0.044435  0.000853  -0.030302  0.004399  ...   \n",
              "\n",
              "               px_height  px_width       ram      sc_h      sc_w  talk_time  \\\n",
              "battery_power   0.014901 -0.008402 -0.000653 -0.029959 -0.021421   0.052510   \n",
              "blue           -0.006872 -0.041533  0.026351 -0.002952  0.000613   0.013934   \n",
              "clock_speed    -0.014523 -0.009476  0.003443 -0.029078 -0.007378  -0.011432   \n",
              "dual_sim       -0.020875  0.014291  0.041072 -0.011949 -0.016666  -0.039404   \n",
              "fc             -0.009990 -0.005176  0.015099 -0.011014 -0.012373  -0.006829   \n",
              "four_g         -0.019236  0.007448  0.007313  0.027166  0.037005  -0.046628   \n",
              "int_memory      0.010441 -0.008335  0.032813  0.037771  0.011731  -0.002790   \n",
              "m_dep           0.025263  0.023566 -0.009434 -0.025348 -0.018388   0.017003   \n",
              "mobile_wt       0.000939  0.000090 -0.002581 -0.033855 -0.020761   0.006209   \n",
              "n_cores        -0.006872  0.024480  0.004868 -0.000315  0.025826   0.013148   \n",
              "pc             -0.018465  0.004196  0.028984  0.004938 -0.023819   0.014657   \n",
              "px_height       1.000000  0.510664 -0.020352  0.059615  0.043038  -0.010645   \n",
              "px_width        0.510664  1.000000  0.004105  0.021599  0.034699   0.006720   \n",
              "ram            -0.020352  0.004105  1.000000  0.015996  0.035576   0.010820   \n",
              "sc_h            0.059615  0.021599  0.015996  1.000000  0.506144  -0.017335   \n",
              "sc_w            0.043038  0.034699  0.035576  0.506144  1.000000  -0.022821   \n",
              "talk_time      -0.010645  0.006720  0.010820 -0.017335 -0.022821   1.000000   \n",
              "three_g        -0.031174  0.000350  0.015795  0.012033  0.030941  -0.042688   \n",
              "touch_screen    0.021891 -0.001628 -0.030455 -0.020023  0.012720   0.017196   \n",
              "wifi            0.051824  0.030319  0.022669  0.025929  0.035423  -0.029504   \n",
              "price_range     0.148858  0.165818  0.917046  0.022986  0.038711   0.021859   \n",
              "\n",
              "                three_g  touch_screen      wifi  price_range  \n",
              "battery_power  0.011522     -0.010516 -0.008343     0.200723  \n",
              "blue          -0.030236      0.010061 -0.021863     0.020573  \n",
              "clock_speed   -0.046433      0.019756 -0.024471    -0.006606  \n",
              "dual_sim      -0.014008     -0.017117  0.022740     0.017444  \n",
              "fc             0.001793     -0.014828  0.020085     0.021998  \n",
              "four_g         0.584246      0.016758 -0.017620     0.014772  \n",
              "int_memory    -0.009366     -0.026999  0.006993     0.044435  \n",
              "m_dep         -0.012065     -0.002638 -0.028353     0.000853  \n",
              "mobile_wt      0.001551     -0.014368 -0.000409    -0.030302  \n",
              "n_cores       -0.014733      0.023774 -0.009964     0.004399  \n",
              "pc            -0.001322     -0.008742  0.005389     0.033599  \n",
              "px_height     -0.031174      0.021891  0.051824     0.148858  \n",
              "px_width       0.000350     -0.001628  0.030319     0.165818  \n",
              "ram            0.015795     -0.030455  0.022669     0.917046  \n",
              "sc_h           0.012033     -0.020023  0.025929     0.022986  \n",
              "sc_w           0.030941      0.012720  0.035423     0.038711  \n",
              "talk_time     -0.042688      0.017196 -0.029504     0.021859  \n",
              "three_g        1.000000      0.013917  0.004316     0.023611  \n",
              "touch_screen   0.013917      1.000000  0.011917    -0.030411  \n",
              "wifi           0.004316      0.011917  1.000000     0.018785  \n",
              "price_range    0.023611     -0.030411  0.018785     1.000000  \n",
              "\n",
              "[21 rows x 21 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7ca8fb88-4368-4322-8c0c-ad9eede8f560\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>battery_power</th>\n",
              "      <th>blue</th>\n",
              "      <th>clock_speed</th>\n",
              "      <th>dual_sim</th>\n",
              "      <th>fc</th>\n",
              "      <th>four_g</th>\n",
              "      <th>int_memory</th>\n",
              "      <th>m_dep</th>\n",
              "      <th>mobile_wt</th>\n",
              "      <th>n_cores</th>\n",
              "      <th>...</th>\n",
              "      <th>px_height</th>\n",
              "      <th>px_width</th>\n",
              "      <th>ram</th>\n",
              "      <th>sc_h</th>\n",
              "      <th>sc_w</th>\n",
              "      <th>talk_time</th>\n",
              "      <th>three_g</th>\n",
              "      <th>touch_screen</th>\n",
              "      <th>wifi</th>\n",
              "      <th>price_range</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>battery_power</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.011252</td>\n",
              "      <td>0.011482</td>\n",
              "      <td>-0.041847</td>\n",
              "      <td>0.033334</td>\n",
              "      <td>0.015665</td>\n",
              "      <td>-0.004004</td>\n",
              "      <td>0.034085</td>\n",
              "      <td>0.001844</td>\n",
              "      <td>-0.029727</td>\n",
              "      <td>...</td>\n",
              "      <td>0.014901</td>\n",
              "      <td>-0.008402</td>\n",
              "      <td>-0.000653</td>\n",
              "      <td>-0.029959</td>\n",
              "      <td>-0.021421</td>\n",
              "      <td>0.052510</td>\n",
              "      <td>0.011522</td>\n",
              "      <td>-0.010516</td>\n",
              "      <td>-0.008343</td>\n",
              "      <td>0.200723</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>blue</th>\n",
              "      <td>0.011252</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.021419</td>\n",
              "      <td>0.035198</td>\n",
              "      <td>0.003593</td>\n",
              "      <td>0.013443</td>\n",
              "      <td>0.041177</td>\n",
              "      <td>0.004049</td>\n",
              "      <td>-0.008605</td>\n",
              "      <td>0.036161</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.006872</td>\n",
              "      <td>-0.041533</td>\n",
              "      <td>0.026351</td>\n",
              "      <td>-0.002952</td>\n",
              "      <td>0.000613</td>\n",
              "      <td>0.013934</td>\n",
              "      <td>-0.030236</td>\n",
              "      <td>0.010061</td>\n",
              "      <td>-0.021863</td>\n",
              "      <td>0.020573</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>clock_speed</th>\n",
              "      <td>0.011482</td>\n",
              "      <td>0.021419</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.001315</td>\n",
              "      <td>-0.000434</td>\n",
              "      <td>-0.043073</td>\n",
              "      <td>0.006545</td>\n",
              "      <td>-0.014364</td>\n",
              "      <td>0.012350</td>\n",
              "      <td>-0.005724</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.014523</td>\n",
              "      <td>-0.009476</td>\n",
              "      <td>0.003443</td>\n",
              "      <td>-0.029078</td>\n",
              "      <td>-0.007378</td>\n",
              "      <td>-0.011432</td>\n",
              "      <td>-0.046433</td>\n",
              "      <td>0.019756</td>\n",
              "      <td>-0.024471</td>\n",
              "      <td>-0.006606</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dual_sim</th>\n",
              "      <td>-0.041847</td>\n",
              "      <td>0.035198</td>\n",
              "      <td>-0.001315</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.029123</td>\n",
              "      <td>0.003187</td>\n",
              "      <td>-0.015679</td>\n",
              "      <td>-0.022142</td>\n",
              "      <td>-0.008979</td>\n",
              "      <td>-0.024658</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.020875</td>\n",
              "      <td>0.014291</td>\n",
              "      <td>0.041072</td>\n",
              "      <td>-0.011949</td>\n",
              "      <td>-0.016666</td>\n",
              "      <td>-0.039404</td>\n",
              "      <td>-0.014008</td>\n",
              "      <td>-0.017117</td>\n",
              "      <td>0.022740</td>\n",
              "      <td>0.017444</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fc</th>\n",
              "      <td>0.033334</td>\n",
              "      <td>0.003593</td>\n",
              "      <td>-0.000434</td>\n",
              "      <td>-0.029123</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.016560</td>\n",
              "      <td>-0.029133</td>\n",
              "      <td>-0.001791</td>\n",
              "      <td>0.023618</td>\n",
              "      <td>-0.013356</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.009990</td>\n",
              "      <td>-0.005176</td>\n",
              "      <td>0.015099</td>\n",
              "      <td>-0.011014</td>\n",
              "      <td>-0.012373</td>\n",
              "      <td>-0.006829</td>\n",
              "      <td>0.001793</td>\n",
              "      <td>-0.014828</td>\n",
              "      <td>0.020085</td>\n",
              "      <td>0.021998</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>four_g</th>\n",
              "      <td>0.015665</td>\n",
              "      <td>0.013443</td>\n",
              "      <td>-0.043073</td>\n",
              "      <td>0.003187</td>\n",
              "      <td>-0.016560</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.008690</td>\n",
              "      <td>-0.001823</td>\n",
              "      <td>-0.016537</td>\n",
              "      <td>-0.029706</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.019236</td>\n",
              "      <td>0.007448</td>\n",
              "      <td>0.007313</td>\n",
              "      <td>0.027166</td>\n",
              "      <td>0.037005</td>\n",
              "      <td>-0.046628</td>\n",
              "      <td>0.584246</td>\n",
              "      <td>0.016758</td>\n",
              "      <td>-0.017620</td>\n",
              "      <td>0.014772</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>int_memory</th>\n",
              "      <td>-0.004004</td>\n",
              "      <td>0.041177</td>\n",
              "      <td>0.006545</td>\n",
              "      <td>-0.015679</td>\n",
              "      <td>-0.029133</td>\n",
              "      <td>0.008690</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.006886</td>\n",
              "      <td>-0.034214</td>\n",
              "      <td>-0.028310</td>\n",
              "      <td>...</td>\n",
              "      <td>0.010441</td>\n",
              "      <td>-0.008335</td>\n",
              "      <td>0.032813</td>\n",
              "      <td>0.037771</td>\n",
              "      <td>0.011731</td>\n",
              "      <td>-0.002790</td>\n",
              "      <td>-0.009366</td>\n",
              "      <td>-0.026999</td>\n",
              "      <td>0.006993</td>\n",
              "      <td>0.044435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>m_dep</th>\n",
              "      <td>0.034085</td>\n",
              "      <td>0.004049</td>\n",
              "      <td>-0.014364</td>\n",
              "      <td>-0.022142</td>\n",
              "      <td>-0.001791</td>\n",
              "      <td>-0.001823</td>\n",
              "      <td>0.006886</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.021756</td>\n",
              "      <td>-0.003504</td>\n",
              "      <td>...</td>\n",
              "      <td>0.025263</td>\n",
              "      <td>0.023566</td>\n",
              "      <td>-0.009434</td>\n",
              "      <td>-0.025348</td>\n",
              "      <td>-0.018388</td>\n",
              "      <td>0.017003</td>\n",
              "      <td>-0.012065</td>\n",
              "      <td>-0.002638</td>\n",
              "      <td>-0.028353</td>\n",
              "      <td>0.000853</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mobile_wt</th>\n",
              "      <td>0.001844</td>\n",
              "      <td>-0.008605</td>\n",
              "      <td>0.012350</td>\n",
              "      <td>-0.008979</td>\n",
              "      <td>0.023618</td>\n",
              "      <td>-0.016537</td>\n",
              "      <td>-0.034214</td>\n",
              "      <td>0.021756</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.018989</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000939</td>\n",
              "      <td>0.000090</td>\n",
              "      <td>-0.002581</td>\n",
              "      <td>-0.033855</td>\n",
              "      <td>-0.020761</td>\n",
              "      <td>0.006209</td>\n",
              "      <td>0.001551</td>\n",
              "      <td>-0.014368</td>\n",
              "      <td>-0.000409</td>\n",
              "      <td>-0.030302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>n_cores</th>\n",
              "      <td>-0.029727</td>\n",
              "      <td>0.036161</td>\n",
              "      <td>-0.005724</td>\n",
              "      <td>-0.024658</td>\n",
              "      <td>-0.013356</td>\n",
              "      <td>-0.029706</td>\n",
              "      <td>-0.028310</td>\n",
              "      <td>-0.003504</td>\n",
              "      <td>-0.018989</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.006872</td>\n",
              "      <td>0.024480</td>\n",
              "      <td>0.004868</td>\n",
              "      <td>-0.000315</td>\n",
              "      <td>0.025826</td>\n",
              "      <td>0.013148</td>\n",
              "      <td>-0.014733</td>\n",
              "      <td>0.023774</td>\n",
              "      <td>-0.009964</td>\n",
              "      <td>0.004399</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>pc</th>\n",
              "      <td>0.031441</td>\n",
              "      <td>-0.009952</td>\n",
              "      <td>-0.005245</td>\n",
              "      <td>-0.017143</td>\n",
              "      <td>0.644595</td>\n",
              "      <td>-0.005598</td>\n",
              "      <td>-0.033273</td>\n",
              "      <td>0.026282</td>\n",
              "      <td>0.018844</td>\n",
              "      <td>-0.001193</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.018465</td>\n",
              "      <td>0.004196</td>\n",
              "      <td>0.028984</td>\n",
              "      <td>0.004938</td>\n",
              "      <td>-0.023819</td>\n",
              "      <td>0.014657</td>\n",
              "      <td>-0.001322</td>\n",
              "      <td>-0.008742</td>\n",
              "      <td>0.005389</td>\n",
              "      <td>0.033599</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>px_height</th>\n",
              "      <td>0.014901</td>\n",
              "      <td>-0.006872</td>\n",
              "      <td>-0.014523</td>\n",
              "      <td>-0.020875</td>\n",
              "      <td>-0.009990</td>\n",
              "      <td>-0.019236</td>\n",
              "      <td>0.010441</td>\n",
              "      <td>0.025263</td>\n",
              "      <td>0.000939</td>\n",
              "      <td>-0.006872</td>\n",
              "      <td>...</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.510664</td>\n",
              "      <td>-0.020352</td>\n",
              "      <td>0.059615</td>\n",
              "      <td>0.043038</td>\n",
              "      <td>-0.010645</td>\n",
              "      <td>-0.031174</td>\n",
              "      <td>0.021891</td>\n",
              "      <td>0.051824</td>\n",
              "      <td>0.148858</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>px_width</th>\n",
              "      <td>-0.008402</td>\n",
              "      <td>-0.041533</td>\n",
              "      <td>-0.009476</td>\n",
              "      <td>0.014291</td>\n",
              "      <td>-0.005176</td>\n",
              "      <td>0.007448</td>\n",
              "      <td>-0.008335</td>\n",
              "      <td>0.023566</td>\n",
              "      <td>0.000090</td>\n",
              "      <td>0.024480</td>\n",
              "      <td>...</td>\n",
              "      <td>0.510664</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.004105</td>\n",
              "      <td>0.021599</td>\n",
              "      <td>0.034699</td>\n",
              "      <td>0.006720</td>\n",
              "      <td>0.000350</td>\n",
              "      <td>-0.001628</td>\n",
              "      <td>0.030319</td>\n",
              "      <td>0.165818</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ram</th>\n",
              "      <td>-0.000653</td>\n",
              "      <td>0.026351</td>\n",
              "      <td>0.003443</td>\n",
              "      <td>0.041072</td>\n",
              "      <td>0.015099</td>\n",
              "      <td>0.007313</td>\n",
              "      <td>0.032813</td>\n",
              "      <td>-0.009434</td>\n",
              "      <td>-0.002581</td>\n",
              "      <td>0.004868</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.020352</td>\n",
              "      <td>0.004105</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.015996</td>\n",
              "      <td>0.035576</td>\n",
              "      <td>0.010820</td>\n",
              "      <td>0.015795</td>\n",
              "      <td>-0.030455</td>\n",
              "      <td>0.022669</td>\n",
              "      <td>0.917046</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sc_h</th>\n",
              "      <td>-0.029959</td>\n",
              "      <td>-0.002952</td>\n",
              "      <td>-0.029078</td>\n",
              "      <td>-0.011949</td>\n",
              "      <td>-0.011014</td>\n",
              "      <td>0.027166</td>\n",
              "      <td>0.037771</td>\n",
              "      <td>-0.025348</td>\n",
              "      <td>-0.033855</td>\n",
              "      <td>-0.000315</td>\n",
              "      <td>...</td>\n",
              "      <td>0.059615</td>\n",
              "      <td>0.021599</td>\n",
              "      <td>0.015996</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.506144</td>\n",
              "      <td>-0.017335</td>\n",
              "      <td>0.012033</td>\n",
              "      <td>-0.020023</td>\n",
              "      <td>0.025929</td>\n",
              "      <td>0.022986</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sc_w</th>\n",
              "      <td>-0.021421</td>\n",
              "      <td>0.000613</td>\n",
              "      <td>-0.007378</td>\n",
              "      <td>-0.016666</td>\n",
              "      <td>-0.012373</td>\n",
              "      <td>0.037005</td>\n",
              "      <td>0.011731</td>\n",
              "      <td>-0.018388</td>\n",
              "      <td>-0.020761</td>\n",
              "      <td>0.025826</td>\n",
              "      <td>...</td>\n",
              "      <td>0.043038</td>\n",
              "      <td>0.034699</td>\n",
              "      <td>0.035576</td>\n",
              "      <td>0.506144</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.022821</td>\n",
              "      <td>0.030941</td>\n",
              "      <td>0.012720</td>\n",
              "      <td>0.035423</td>\n",
              "      <td>0.038711</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>talk_time</th>\n",
              "      <td>0.052510</td>\n",
              "      <td>0.013934</td>\n",
              "      <td>-0.011432</td>\n",
              "      <td>-0.039404</td>\n",
              "      <td>-0.006829</td>\n",
              "      <td>-0.046628</td>\n",
              "      <td>-0.002790</td>\n",
              "      <td>0.017003</td>\n",
              "      <td>0.006209</td>\n",
              "      <td>0.013148</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.010645</td>\n",
              "      <td>0.006720</td>\n",
              "      <td>0.010820</td>\n",
              "      <td>-0.017335</td>\n",
              "      <td>-0.022821</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.042688</td>\n",
              "      <td>0.017196</td>\n",
              "      <td>-0.029504</td>\n",
              "      <td>0.021859</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>three_g</th>\n",
              "      <td>0.011522</td>\n",
              "      <td>-0.030236</td>\n",
              "      <td>-0.046433</td>\n",
              "      <td>-0.014008</td>\n",
              "      <td>0.001793</td>\n",
              "      <td>0.584246</td>\n",
              "      <td>-0.009366</td>\n",
              "      <td>-0.012065</td>\n",
              "      <td>0.001551</td>\n",
              "      <td>-0.014733</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.031174</td>\n",
              "      <td>0.000350</td>\n",
              "      <td>0.015795</td>\n",
              "      <td>0.012033</td>\n",
              "      <td>0.030941</td>\n",
              "      <td>-0.042688</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.013917</td>\n",
              "      <td>0.004316</td>\n",
              "      <td>0.023611</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>touch_screen</th>\n",
              "      <td>-0.010516</td>\n",
              "      <td>0.010061</td>\n",
              "      <td>0.019756</td>\n",
              "      <td>-0.017117</td>\n",
              "      <td>-0.014828</td>\n",
              "      <td>0.016758</td>\n",
              "      <td>-0.026999</td>\n",
              "      <td>-0.002638</td>\n",
              "      <td>-0.014368</td>\n",
              "      <td>0.023774</td>\n",
              "      <td>...</td>\n",
              "      <td>0.021891</td>\n",
              "      <td>-0.001628</td>\n",
              "      <td>-0.030455</td>\n",
              "      <td>-0.020023</td>\n",
              "      <td>0.012720</td>\n",
              "      <td>0.017196</td>\n",
              "      <td>0.013917</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.011917</td>\n",
              "      <td>-0.030411</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>wifi</th>\n",
              "      <td>-0.008343</td>\n",
              "      <td>-0.021863</td>\n",
              "      <td>-0.024471</td>\n",
              "      <td>0.022740</td>\n",
              "      <td>0.020085</td>\n",
              "      <td>-0.017620</td>\n",
              "      <td>0.006993</td>\n",
              "      <td>-0.028353</td>\n",
              "      <td>-0.000409</td>\n",
              "      <td>-0.009964</td>\n",
              "      <td>...</td>\n",
              "      <td>0.051824</td>\n",
              "      <td>0.030319</td>\n",
              "      <td>0.022669</td>\n",
              "      <td>0.025929</td>\n",
              "      <td>0.035423</td>\n",
              "      <td>-0.029504</td>\n",
              "      <td>0.004316</td>\n",
              "      <td>0.011917</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.018785</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>price_range</th>\n",
              "      <td>0.200723</td>\n",
              "      <td>0.020573</td>\n",
              "      <td>-0.006606</td>\n",
              "      <td>0.017444</td>\n",
              "      <td>0.021998</td>\n",
              "      <td>0.014772</td>\n",
              "      <td>0.044435</td>\n",
              "      <td>0.000853</td>\n",
              "      <td>-0.030302</td>\n",
              "      <td>0.004399</td>\n",
              "      <td>...</td>\n",
              "      <td>0.148858</td>\n",
              "      <td>0.165818</td>\n",
              "      <td>0.917046</td>\n",
              "      <td>0.022986</td>\n",
              "      <td>0.038711</td>\n",
              "      <td>0.021859</td>\n",
              "      <td>0.023611</td>\n",
              "      <td>-0.030411</td>\n",
              "      <td>0.018785</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>21 rows × 21 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7ca8fb88-4368-4322-8c0c-ad9eede8f560')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      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-7ca8fb88-4368-4322-8c0c-ad9eede8f560 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-7ca8fb88-4368-4322-8c0c-ad9eede8f560');\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": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "price_data.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "L60ls3hpkYrR",
        "outputId": "4a9d37c6-a24b-4230-e444-916c2652a24e"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       battery_power       blue  clock_speed     dual_sim           fc  \\\n",
              "count    2000.000000  2000.0000  2000.000000  2000.000000  2000.000000   \n",
              "mean     1238.518500     0.4950     1.522250     0.509500     4.309500   \n",
              "std       439.418206     0.5001     0.816004     0.500035     4.341444   \n",
              "min       501.000000     0.0000     0.500000     0.000000     0.000000   \n",
              "25%       851.750000     0.0000     0.700000     0.000000     1.000000   \n",
              "50%      1226.000000     0.0000     1.500000     1.000000     3.000000   \n",
              "75%      1615.250000     1.0000     2.200000     1.000000     7.000000   \n",
              "max      1998.000000     1.0000     3.000000     1.000000    19.000000   \n",
              "\n",
              "            four_g   int_memory        m_dep    mobile_wt      n_cores  ...  \\\n",
              "count  2000.000000  2000.000000  2000.000000  2000.000000  2000.000000  ...   \n",
              "mean      0.521500    32.046500     0.501750   140.249000     4.520500  ...   \n",
              "std       0.499662    18.145715     0.288416    35.399655     2.287837  ...   \n",
              "min       0.000000     2.000000     0.100000    80.000000     1.000000  ...   \n",
              "25%       0.000000    16.000000     0.200000   109.000000     3.000000  ...   \n",
              "50%       1.000000    32.000000     0.500000   141.000000     4.000000  ...   \n",
              "75%       1.000000    48.000000     0.800000   170.000000     7.000000  ...   \n",
              "max       1.000000    64.000000     1.000000   200.000000     8.000000  ...   \n",
              "\n",
              "         px_height     px_width          ram         sc_h         sc_w  \\\n",
              "count  2000.000000  2000.000000  2000.000000  2000.000000  2000.000000   \n",
              "mean    645.108000  1251.515500  2124.213000    12.306500     5.767000   \n",
              "std     443.780811   432.199447  1084.732044     4.213245     4.356398   \n",
              "min       0.000000   500.000000   256.000000     5.000000     0.000000   \n",
              "25%     282.750000   874.750000  1207.500000     9.000000     2.000000   \n",
              "50%     564.000000  1247.000000  2146.500000    12.000000     5.000000   \n",
              "75%     947.250000  1633.000000  3064.500000    16.000000     9.000000   \n",
              "max    1960.000000  1998.000000  3998.000000    19.000000    18.000000   \n",
              "\n",
              "         talk_time      three_g  touch_screen         wifi  price_range  \n",
              "count  2000.000000  2000.000000   2000.000000  2000.000000  2000.000000  \n",
              "mean     11.011000     0.761500      0.503000     0.507000     1.500000  \n",
              "std       5.463955     0.426273      0.500116     0.500076     1.118314  \n",
              "min       2.000000     0.000000      0.000000     0.000000     0.000000  \n",
              "25%       6.000000     1.000000      0.000000     0.000000     0.750000  \n",
              "50%      11.000000     1.000000      1.000000     1.000000     1.500000  \n",
              "75%      16.000000     1.000000      1.000000     1.000000     2.250000  \n",
              "max      20.000000     1.000000      1.000000     1.000000     3.000000  \n",
              "\n",
              "[8 rows x 21 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8ec7b975-ee3b-4e3d-9918-4c593be33404\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>battery_power</th>\n",
              "      <th>blue</th>\n",
              "      <th>clock_speed</th>\n",
              "      <th>dual_sim</th>\n",
              "      <th>fc</th>\n",
              "      <th>four_g</th>\n",
              "      <th>int_memory</th>\n",
              "      <th>m_dep</th>\n",
              "      <th>mobile_wt</th>\n",
              "      <th>n_cores</th>\n",
              "      <th>...</th>\n",
              "      <th>px_height</th>\n",
              "      <th>px_width</th>\n",
              "      <th>ram</th>\n",
              "      <th>sc_h</th>\n",
              "      <th>sc_w</th>\n",
              "      <th>talk_time</th>\n",
              "      <th>three_g</th>\n",
              "      <th>touch_screen</th>\n",
              "      <th>wifi</th>\n",
              "      <th>price_range</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.0000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1238.518500</td>\n",
              "      <td>0.4950</td>\n",
              "      <td>1.522250</td>\n",
              "      <td>0.509500</td>\n",
              "      <td>4.309500</td>\n",
              "      <td>0.521500</td>\n",
              "      <td>32.046500</td>\n",
              "      <td>0.501750</td>\n",
              "      <td>140.249000</td>\n",
              "      <td>4.520500</td>\n",
              "      <td>...</td>\n",
              "      <td>645.108000</td>\n",
              "      <td>1251.515500</td>\n",
              "      <td>2124.213000</td>\n",
              "      <td>12.306500</td>\n",
              "      <td>5.767000</td>\n",
              "      <td>11.011000</td>\n",
              "      <td>0.761500</td>\n",
              "      <td>0.503000</td>\n",
              "      <td>0.507000</td>\n",
              "      <td>1.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>439.418206</td>\n",
              "      <td>0.5001</td>\n",
              "      <td>0.816004</td>\n",
              "      <td>0.500035</td>\n",
              "      <td>4.341444</td>\n",
              "      <td>0.499662</td>\n",
              "      <td>18.145715</td>\n",
              "      <td>0.288416</td>\n",
              "      <td>35.399655</td>\n",
              "      <td>2.287837</td>\n",
              "      <td>...</td>\n",
              "      <td>443.780811</td>\n",
              "      <td>432.199447</td>\n",
              "      <td>1084.732044</td>\n",
              "      <td>4.213245</td>\n",
              "      <td>4.356398</td>\n",
              "      <td>5.463955</td>\n",
              "      <td>0.426273</td>\n",
              "      <td>0.500116</td>\n",
              "      <td>0.500076</td>\n",
              "      <td>1.118314</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>501.000000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>80.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>500.000000</td>\n",
              "      <td>256.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>851.750000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.700000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>109.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>282.750000</td>\n",
              "      <td>874.750000</td>\n",
              "      <td>1207.500000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>1226.000000</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>1.500000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>32.000000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>141.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>564.000000</td>\n",
              "      <td>1247.000000</td>\n",
              "      <td>2146.500000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1615.250000</td>\n",
              "      <td>1.0000</td>\n",
              "      <td>2.200000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>0.800000</td>\n",
              "      <td>170.000000</td>\n",
              "      <td>7.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>947.250000</td>\n",
              "      <td>1633.000000</td>\n",
              "      <td>3064.500000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1998.000000</td>\n",
              "      <td>1.0000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>19.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>64.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>200.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>1960.000000</td>\n",
              "      <td>1998.000000</td>\n",
              "      <td>3998.000000</td>\n",
              "      <td>19.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 21 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8ec7b975-ee3b-4e3d-9918-4c593be33404')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      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-8ec7b975-ee3b-4e3d-9918-4c593be33404 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-8ec7b975-ee3b-4e3d-9918-4c593be33404');\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": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "price_data.nunique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FjHH4e4ZkchI",
        "outputId": "eba5b612-ac6e-47d9-a1b5-51c7ece2dba1"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "battery_power    1094\n",
              "blue                2\n",
              "clock_speed        26\n",
              "dual_sim            2\n",
              "fc                 20\n",
              "four_g              2\n",
              "int_memory         63\n",
              "m_dep              10\n",
              "mobile_wt         121\n",
              "n_cores             8\n",
              "pc                 21\n",
              "px_height        1137\n",
              "px_width         1109\n",
              "ram              1562\n",
              "sc_h               15\n",
              "sc_w               19\n",
              "talk_time          19\n",
              "three_g             2\n",
              "touch_screen        2\n",
              "wifi                2\n",
              "price_range         4\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "price_data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JdPJe_HLkiRu",
        "outputId": "fbe55221-79c1-463c-baf9-8943d0791c01"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2000, 21)"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "price_data.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "q579NVdVkylB",
        "outputId": "f1d5f9d8-2294-4c2f-f4e2-6107c84b856b"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['battery_power', 'blue', 'clock_speed', 'dual_sim', 'fc', 'four_g',\n",
              "       'int_memory', 'm_dep', 'mobile_wt', 'n_cores', 'pc', 'px_height',\n",
              "       'px_width', 'ram', 'sc_h', 'sc_w', 'talk_time', 'three_g',\n",
              "       'touch_screen', 'wifi', 'price_range'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Define X\n",
        "X = price_data[['battery_power', 'blue', 'clock_speed', 'dual_sim', 'fc', 'four_g',\n",
        "       'int_memory', 'm_dep', 'mobile_wt', 'n_cores', 'pc', 'px_height',\n",
        "       'px_width', 'ram', 'sc_h', 'sc_w', 'talk_time', 'three_g',\n",
        "       'touch_screen', 'wifi']]"
      ],
      "metadata": {
        "id": "FZY27tHmlPBC"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Define y\n",
        "y = price_data['price_range']"
      ],
      "metadata": {
        "id": "2O_rKrSjlSqb"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Importing Train Test Model\n",
        "from sklearn.model_selection import train_test_split"
      ],
      "metadata": {
        "id": "GqDj_XtclhT4"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Spliting X & y into Training & Testing Data\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size = 0.8, random_state = 25)"
      ],
      "metadata": {
        "id": "1fyW3yATl8hz"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "yDPqq1RfmVpY",
        "outputId": "f32323f4-4d49-4d98-cdbf-701a368278e7"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      battery_power  blue  clock_speed  dual_sim  fc  four_g  int_memory  \\\n",
              "1367            598     1          0.8         1   8       1          62   \n",
              "1809            683     1          2.1         0   7       0          30   \n",
              "973             516     1          0.7         1   1       0          30   \n",
              "182            1082     0          0.8         0   0       0          38   \n",
              "871             712     1          1.6         0   6       1           9   \n",
              "...             ...   ...          ...       ...  ..     ...         ...   \n",
              "1341           1423     0          0.6         0  12       0          44   \n",
              "143             786     0          2.2         1   0       0          33   \n",
              "474            1968     0          0.9         0   0       0          22   \n",
              "318             508     0          0.8         0   7       1          42   \n",
              "1156           1732     0          0.8         0   2       0          61   \n",
              "\n",
              "      m_dep  mobile_wt  n_cores  pc  px_height  px_width   ram  sc_h  sc_w  \\\n",
              "1367    0.1        117        8   9        118       764  3066    11     2   \n",
              "1809    0.1        197        7   8        927      1135  2066     9     0   \n",
              "973     0.9        138        1  12        126       698  3731    17    13   \n",
              "182     0.1        198        8   5        986      1191  2337     6     1   \n",
              "871     0.8        172        2  14        881      1234  3612    13     5   \n",
              "...     ...        ...      ...  ..        ...       ...   ...   ...   ...   \n",
              "1341    0.8        131        5  13        501       640  2253    10     8   \n",
              "143     0.5        141        7   6        507      1697  2390    12    11   \n",
              "474     0.8        115        3   7        861      1259  2323     9     8   \n",
              "318     0.3         94        1   8         39       557   663    13    12   \n",
              "1156    0.3        172        5   3        201       656  3940    17    11   \n",
              "\n",
              "      talk_time  three_g  touch_screen  wifi  \n",
              "1367         19        1             1     0  \n",
              "1809         15        0             0     0  \n",
              "973          15        0             0     0  \n",
              "182          17        0             1     1  \n",
              "871           4        1             0     0  \n",
              "...         ...      ...           ...   ...  \n",
              "1341          9        0             0     0  \n",
              "143           5        1             0     1  \n",
              "474           7        0             0     1  \n",
              "318           7        1             0     0  \n",
              "1156         20        0             1     1  \n",
              "\n",
              "[1600 rows x 20 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1151c542-7313-48b0-9ade-a9d565506da4\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>battery_power</th>\n",
              "      <th>blue</th>\n",
              "      <th>clock_speed</th>\n",
              "      <th>dual_sim</th>\n",
              "      <th>fc</th>\n",
              "      <th>four_g</th>\n",
              "      <th>int_memory</th>\n",
              "      <th>m_dep</th>\n",
              "      <th>mobile_wt</th>\n",
              "      <th>n_cores</th>\n",
              "      <th>pc</th>\n",
              "      <th>px_height</th>\n",
              "      <th>px_width</th>\n",
              "      <th>ram</th>\n",
              "      <th>sc_h</th>\n",
              "      <th>sc_w</th>\n",
              "      <th>talk_time</th>\n",
              "      <th>three_g</th>\n",
              "      <th>touch_screen</th>\n",
              "      <th>wifi</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1367</th>\n",
              "      <td>598</td>\n",
              "      <td>1</td>\n",
              "      <td>0.8</td>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
              "      <td>62</td>\n",
              "      <td>0.1</td>\n",
              "      <td>117</td>\n",
              "      <td>8</td>\n",
              "      <td>9</td>\n",
              "      <td>118</td>\n",
              "      <td>764</td>\n",
              "      <td>3066</td>\n",
              "      <td>11</td>\n",
              "      <td>2</td>\n",
              "      <td>19</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1809</th>\n",
              "      <td>683</td>\n",
              "      <td>1</td>\n",
              "      <td>2.1</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>30</td>\n",
              "      <td>0.1</td>\n",
              "      <td>197</td>\n",
              "      <td>7</td>\n",
              "      <td>8</td>\n",
              "      <td>927</td>\n",
              "      <td>1135</td>\n",
              "      <td>2066</td>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>973</th>\n",
              "      <td>516</td>\n",
              "      <td>1</td>\n",
              "      <td>0.7</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>30</td>\n",
              "      <td>0.9</td>\n",
              "      <td>138</td>\n",
              "      <td>1</td>\n",
              "      <td>12</td>\n",
              "      <td>126</td>\n",
              "      <td>698</td>\n",
              "      <td>3731</td>\n",
              "      <td>17</td>\n",
              "      <td>13</td>\n",
              "      <td>15</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>182</th>\n",
              "      <td>1082</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>38</td>\n",
              "      <td>0.1</td>\n",
              "      <td>198</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>986</td>\n",
              "      <td>1191</td>\n",
              "      <td>2337</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>17</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>871</th>\n",
              "      <td>712</td>\n",
              "      <td>1</td>\n",
              "      <td>1.6</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>9</td>\n",
              "      <td>0.8</td>\n",
              "      <td>172</td>\n",
              "      <td>2</td>\n",
              "      <td>14</td>\n",
              "      <td>881</td>\n",
              "      <td>1234</td>\n",
              "      <td>3612</td>\n",
              "      <td>13</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1341</th>\n",
              "      <td>1423</td>\n",
              "      <td>0</td>\n",
              "      <td>0.6</td>\n",
              "      <td>0</td>\n",
              "      <td>12</td>\n",
              "      <td>0</td>\n",
              "      <td>44</td>\n",
              "      <td>0.8</td>\n",
              "      <td>131</td>\n",
              "      <td>5</td>\n",
              "      <td>13</td>\n",
              "      <td>501</td>\n",
              "      <td>640</td>\n",
              "      <td>2253</td>\n",
              "      <td>10</td>\n",
              "      <td>8</td>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>143</th>\n",
              "      <td>786</td>\n",
              "      <td>0</td>\n",
              "      <td>2.2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>33</td>\n",
              "      <td>0.5</td>\n",
              "      <td>141</td>\n",
              "      <td>7</td>\n",
              "      <td>6</td>\n",
              "      <td>507</td>\n",
              "      <td>1697</td>\n",
              "      <td>2390</td>\n",
              "      <td>12</td>\n",
              "      <td>11</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>474</th>\n",
              "      <td>1968</td>\n",
              "      <td>0</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>22</td>\n",
              "      <td>0.8</td>\n",
              "      <td>115</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>861</td>\n",
              "      <td>1259</td>\n",
              "      <td>2323</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>318</th>\n",
              "      <td>508</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>42</td>\n",
              "      <td>0.3</td>\n",
              "      <td>94</td>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>39</td>\n",
              "      <td>557</td>\n",
              "      <td>663</td>\n",
              "      <td>13</td>\n",
              "      <td>12</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1156</th>\n",
              "      <td>1732</td>\n",
              "      <td>0</td>\n",
              "      <td>0.8</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>61</td>\n",
              "      <td>0.3</td>\n",
              "      <td>172</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>201</td>\n",
              "      <td>656</td>\n",
              "      <td>3940</td>\n",
              "      <td>17</td>\n",
              "      <td>11</td>\n",
              "      <td>20</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1600 rows × 20 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1151c542-7313-48b0-9ade-a9d565506da4')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      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-1151c542-7313-48b0-9ade-a9d565506da4 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-1151c542-7313-48b0-9ade-a9d565506da4');\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": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Importing Model to train ML Model\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "knn = KNeighborsClassifier()"
      ],
      "metadata": {
        "id": "-IWbhFGamYom"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Train the ML Model\n",
        "knn.fit(X_train, y_train)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ViUjD-ImoR79",
        "outputId": "39125d10-9939-442b-815a-61e299d662cb"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "KNeighborsClassifier()"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Testing the Model\n",
        "y_pred = knn.predict(X_test)"
      ],
      "metadata": {
        "id": "Td74VAiCoxGf"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# model accuracy\n",
        "from sklearn.metrics import accuracy_score, classification_report"
      ],
      "metadata": {
        "id": "YqUK30GJp1xk"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "accuracy_score(y_test, y_pred)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RLAWN1X4qF-D",
        "outputId": "3d54b24d-16f3-4b63-eaf9-c0dcaa78968e"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.91"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(classification_report(y_test, y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0ThyPUSBqKFL",
        "outputId": "ba92c714-2523-47be-8d29-468ea2953c3c"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.97      0.95      0.96        96\n",
            "           1       0.88      0.95      0.92       103\n",
            "           2       0.90      0.85      0.87       112\n",
            "           3       0.90      0.90      0.90        89\n",
            "\n",
            "    accuracy                           0.91       400\n",
            "   macro avg       0.91      0.91      0.91       400\n",
            "weighted avg       0.91      0.91      0.91       400\n",
            "\n"
          ]
        }
      ]
    }
  ]
}