Part1_LR_without_libraries.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Part1_ML_Assignment.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 153,
      "metadata": {
        "id": "bMDvwn7nbY__"
      },
      "outputs": [],
      "source": [
        "#importing the libraries\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt \n",
        "import pandas as pd  \n",
        "import seaborn as sns #modern plotting\n",
        "from sklearn.metrics import r2_score\n",
        "from sklearn.datasets import load_boston\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from sklearn.metrics import mean_absolute_error"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# reading data from the UCI datasets\n",
        "data = pd.read_excel(\"https://github.com/Rathang1/CS-6375_Machine-Learning/raw/main/Real%20estate%20valuation%20data%20set.xlsx\")\n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 207
        },
        "id": "epILkFjWbgKv",
        "outputId": "13d69e17-a99d-4289-c54b-9cfc8cdd2cc0"
      },
      "execution_count": 248,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-f58501e8-0bc1-4015-8528-a8e6add0d3f9\">\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>No</th>\n",
              "      <th>X1 transaction date</th>\n",
              "      <th>X2 house age</th>\n",
              "      <th>X3 distance to the nearest MRT station</th>\n",
              "      <th>X4 number of convenience stores</th>\n",
              "      <th>X5 latitude</th>\n",
              "      <th>X6 longitude</th>\n",
              "      <th>Y house price of unit area</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>2012.916667</td>\n",
              "      <td>32.0</td>\n",
              "      <td>84.87882</td>\n",
              "      <td>10</td>\n",
              "      <td>24.98298</td>\n",
              "      <td>121.54024</td>\n",
              "      <td>37.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>2012.916667</td>\n",
              "      <td>19.5</td>\n",
              "      <td>306.59470</td>\n",
              "      <td>9</td>\n",
              "      <td>24.98034</td>\n",
              "      <td>121.53951</td>\n",
              "      <td>42.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>2013.583333</td>\n",
              "      <td>13.3</td>\n",
              "      <td>561.98450</td>\n",
              "      <td>5</td>\n",
              "      <td>24.98746</td>\n",
              "      <td>121.54391</td>\n",
              "      <td>47.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>2013.500000</td>\n",
              "      <td>13.3</td>\n",
              "      <td>561.98450</td>\n",
              "      <td>5</td>\n",
              "      <td>24.98746</td>\n",
              "      <td>121.54391</td>\n",
              "      <td>54.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>2012.833333</td>\n",
              "      <td>5.0</td>\n",
              "      <td>390.56840</td>\n",
              "      <td>5</td>\n",
              "      <td>24.97937</td>\n",
              "      <td>121.54245</td>\n",
              "      <td>43.1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f58501e8-0bc1-4015-8528-a8e6add0d3f9')\"\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-f58501e8-0bc1-4015-8528-a8e6add0d3f9 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-f58501e8-0bc1-4015-8528-a8e6add0d3f9');\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",
              "  "
            ],
            "text/plain": [
              "   No  X1 transaction date  ...  X6 longitude  Y house price of unit area\n",
              "0   1          2012.916667  ...     121.54024                        37.9\n",
              "1   2          2012.916667  ...     121.53951                        42.2\n",
              "2   3          2013.583333  ...     121.54391                        47.3\n",
              "3   4          2013.500000  ...     121.54391                        54.8\n",
              "4   5          2012.833333  ...     121.54245                        43.1\n",
              "\n",
              "[5 rows x 8 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 248
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# dropping the first index column as index is being repeated\n",
        "data.drop(columns=['No'], inplace = True)"
      ],
      "metadata": {
        "id": "efkJBPILdPyC"
      },
      "execution_count": 249,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0UShV5lacRxG",
        "outputId": "8234a8d0-ed15-4ac9-bc52-74dd52f6865d"
      },
      "execution_count": 250,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(414, 7)"
            ]
          },
          "metadata": {},
          "execution_count": 250
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# checking null values\n",
        "data.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZISvGqGScbw3",
        "outputId": "194d087e-baaf-4ae8-a685-4b9f2dc181bd"
      },
      "execution_count": 251,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "X1 transaction date                       0\n",
              "X2 house age                              0\n",
              "X3 distance to the nearest MRT station    0\n",
              "X4 number of convenience stores           0\n",
              "X5 latitude                               0\n",
              "X6 longitude                              0\n",
              "Y house price of unit area                0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 251
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Exploratory Data Analysis"
      ],
      "metadata": {
        "id": "RuJzKrUXeOkj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Checking Target value distribution\n",
        "sns.displot(data['Y house price of unit area'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 384
        },
        "id": "3RgnRXWRcf3A",
        "outputId": "26fa0304-edf5-4017-e576-2090010f2d88"
      },
      "execution_count": 158,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.FacetGrid at 0x7f009778d650>"
            ]
          },
          "metadata": {},
          "execution_count": 158
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVwAAAFcCAYAAACEFgYsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3de1SUZeIH8C9zAS+gXAQcwF+kJwv1FMitU7omaLKKYJrpYbXNMitTcVtcyAuYly3EvGvY5bjr1tETtcmCJrZr2Wqbl7xFeMu8oIxcBklQhLk8vz88zpGcgRlknmHw+zlnz5HnfXnnOxPz5d2Hd57XTQghQEREDqdwdgAiovsFC5eISBIWLhGRJCxcIiJJWLhERJKwcImIJFE5O0Bb0OnqYDK1/6vbfHy64OrVG86O0WrM71zM71zN5ff397LpGDzDlUilUjo7wj1hfudifudqi/wsXCIiSVi4RESSsHCJiCRh4RIRScLCJSKShIVLRCQJC5eISBIWLhGRJCxcIiJJWLhERJKwcImIJGHhEhFJ0iFWC6O21a17Z3i4W/7RsLQqUkOjAdd+rXd0LCKXx8Klu3i4qzBn9Z67xtVqFfR6w13jOalDZMQicnmcUiAikoSFS0QkCQuXiEgSFi4RkSQsXCIiSVi4RESSsHCJiCRh4RIRScLCJSKShIVLRCQJC5eISBIWLhGRJCxcIiJJpKwWdunSJbz++uvmr2tra1FXV4cDBw7g3LlzyMjIQE1NDby9vZGdnY3Q0FAZsYiIpJJSuCEhIcjPzzd/vXTpUhiNRgBAVlYWUlJSkJycjPz8fGRmZmLz5s0yYhERSSV9SqGxsREFBQUYN24cdDodSkpKkJiYCABITExESUkJqqurZcciInI46YW7e/duBAYGon///tBqtQgMDIRSqQQAKJVKBAQEQKvVyo5FRORw0u/48Pnnn2PcuHFtekw/P882PZ4jWbpFTXukVlv+0bA27irPy1VyWsP8znWv+aUWbnl5OQ4ePIhly5YBADQaDcrLy2E0GqFUKmE0GlFRUQGNRmPXcXW6OphMwhGR25S/vxcqK2udHaNF/v5eFm+lY+0WOwBc5nm5Qk5rmN+5mstvaxFLnVL44osvMGTIEPj4+AAA/Pz8EBYWhsLCQgBAYWEhwsLC4OvrKzMWEZEU0gv3t9MJCxcuxMcff4wRI0bg448/xltvvSUzEhGRNFKnFIqKiu4a69OnD/Ly8mTGICJyCn7SjIhIEhYuEZEkLFwiIklYuEREkrBwiYgkYeESEUnCwiUikoSFS0QkCQuXiEgSFi4RkSQsXCIiSVi4RESSsHCJiCRh4RIRScLCJSKShIVLRCQJC5eISBIWLhGRJCxcIiJJWLhERJKwcImIJGHhEhFJwsIlIpKEhUtEJAkLl4hIEhYuEZEkLFwiIklYuEREkrBwiYgkUcl6oIaGBvz1r3/F//73P3h4eCA8PByLFy/GuXPnkJGRgZqaGnh7eyM7OxuhoaGyYhERSSOtcHNycuDh4YGioiK4ubmhqqoKAJCVlYWUlBQkJycjPz8fmZmZ2Lx5s6xYRETSSJlSuH79OrZt24bU1FS4ubkBAHr06AGdToeSkhIkJiYCABITE1FSUoLq6moZsYiIpJJyhltaWgpvb2+sW7cO+/fvR9euXZGamopOnTohMDAQSqUSAKBUKhEQEACtVgtfX18Z0YiIpJFSuEajEaWlpejXrx/S09Nx7NgxvPrqq1i9enWbHN/Pz7NNjiODv7+XsyPYRK22/KNhbdxVnper5LSG+Z3rXvNLKVyNRgOVSmWeOnjsscfg4+ODTp06oby8HEajEUqlEkajERUVFdBoNHYdX6erg8kkHBG9Tfn7e6GystbZMVrk7+8Fvd5w17harbI4DsBlnpcr5LSG+Z2rufy2FrGUOVxfX1/ExsZi3759AIBz585Bp9MhNDQUYWFhKCwsBAAUFhYiLCyM0wlE1CFJu0rhrbfewty5c5GdnQ2VSoVly5ahW7duWLhwITIyMrBhwwZ069YN2dnZsiIREUklrXB79eqFf/zjH3eN9+nTB3l5ebJiEBE5DT9pRkQkCQuXiEgSFi4RkSQsXCIiSVi4RESSsHCJiCRh4RIRScLCJSKShIVLRCQJC5eISBIWLhGRJCxcIiJJWLhERJKwcImIJGHhEhFJwsIlIpKEhUtEJAkLl4hIEhYuEZEkLFwiIklYuEREkrBwiYgkYeESEUnCwiUikoSFS0QkCQuXiEgSFi4RkSQsXCIiSVi4RESSqGQ9UFxcHNzd3eHh4QEASEtLw+DBg3H06FFkZmaioaEBwcHByMnJgZ+fn6xYRETSSCtcAFizZg369u1r/tpkMmHOnDl4++23ERUVhQ0bNmD58uV4++23ZcYiIpLCqVMKxcXF8PDwQFRUFABg4sSJ2LlzpzMjERE5jNQz3LS0NAghEBkZiTfeeANarRZBQUHm7b6+vjCZTKipqYG3t7fNx/Xz83REXIfw9/dydgSbqNWWfzQsjesNJruel95gglrlnN/1rvL6W8P8znWv+aUV7ieffAKNRoPGxkYsXboUixYtwvDhw9vk2DpdHUwm0SbHciR/fy9UVtY6O0aL/P29oNcb7hpXq1WWx1UKzFm9x+bj56QOccrr4CqvvzXM71zN5be1iKWdZmg0GgCAu7s7UlJScPjwYWg0GpSVlZn3qa6uhkKhsOvslojIVUgp3Bs3bqC29tZvBiEEduzYgbCwMAwYMAA3b97EoUOHAABbt25FQkKCjEhERNJJmVLQ6XSYOXMmjEYjTCYT+vTpg6ysLCgUCixbtgxZWVlNLgu733Tr3hke7rb/p2hoNODar/UOTEREjiClcHv16oVt27ZZ3DZw4EAUFBTIiNFuebir7J4DJSLXw0+aERFJwsIlIpKEhUtEJAkLl4hIEhYuEZEkLFwiIkmkrqVAzmHvdb5E5Bh8F94HeJ0vUfvAKQUiIkl4huuC7F0OkYjaBxauC2rNcohE5HycUiAikoSFS0QkCQuXiEgSFi4RkSQsXCIiSVi4RESSsHCJiCRh4RIRSWJz4X755ZcWx3fu3NlmYYiIOjKbC3fevHkWxzMzM9ssDBFRR9biR3tLS0sBAEII87/v3Obu7u6YZEREHUyLhTt8+HC4ublBCIHhw4c32dajRw/MnDnTYeGIiDqSFgv35MmTAIBJkybh448/dnggIqKOyuY5XJYtEdG9sXl5xtLSUqxatQonTpzAjRs3mmz75ptv2joXEVGHY3PhpqWloVevXkhPT0fnzp0dmYmIqEOyuXDPnDmDLVu2QKHgZyWIiFrD5vaMjo5GSUmJI7MQEXVoNp/hBgcHY+rUqRg+fDh69OjRZFtqaqrND7hu3TqsXbsWBQUF6Nu3L44ePYrMzEw0NDQgODgYOTk58PPzs/0ZEBG5CJvPcOvr6zF06FAYDAZcuXKlyf9s9dNPP+Ho0aMIDg4GAJhMJsyZMweZmZkoKipCVFQUli9fbv+zICJyATaf4b799tv39ECNjY1YtGgR3n33XTz//PMAgOLiYnh4eCAqKgoAMHHiRMTHx9/zYxERtUd2XRZmTa9evVr8/tWrVyMpKQkhISHmMa1Wi6CgIPPXvr6+MJlMqKmpgbe3t63R4OfnafO+zmbt9uZqtX03UHbW/vaOW+Os27y7+u3lmd+57jW/ze+SOz/ie5ubmxsA4MSJE81+75EjR1BcXIy0tLRWxmyeTlcHk0m0vKOT+ft7obKy1uK4Xm+w61jO2F+tVlk9jr3Ht/Q6OJq1199VML9zNZff1iK2uXBvf8T3tsrKSqxbt848HdCcgwcP4uzZs4iPjwcAXLlyBS+99BImT56MsrIy837V1dVQKBR2nd0SEbmKVl9U6+/vj3nz5mHFihUt7jtt2jTs3bsXu3fvxu7du9GzZ0989NFHmDp1Km7evIlDhw4BALZu3YqEhITWRiIiatfsm3j7jV9++QX19fWt/n6FQoFly5YhKyuryWVhREQdkc2Fm5KSYp6zBW5dJvbzzz/j9ddft/tBd+/ebf73wIEDUVBQYPcxiIhcjc2FO378+CZfd+7cGY888ghCQ0PbOhMRUYdkc+E+88wzjsxBRNTh2Vy4er0e7733HvLz81FRUYGAgAAkJyfj1Vdf5W12yC56g8mu6xkbGg249mvr/1ZA1F7YXLg5OTk4fvw43nrrLQQFBaGsrAwbNmxAXV0d5s6d68iM1MGoVQrMWb3H5v1zUoc4MA2RPDYX7s6dO5Gfnw8fHx8AQO/evdGvXz8kJyezcImIbGDzdbh3fsLMlnEiImrK5sJNSEjAa6+9hv/+9784e/Ysvv32W7z++uv8oAIRkY1snlKYM2cO3nvvPSxatAgVFRUIDAzEqFGj8NprrzkyHxFRh9HiGe4PP/yAnJwcuLu7IzU1FV999RWOHTuGXbt2obGxkXeBICKyUYuFu3HjRkRHR1vcFhsbi9zc3DYPRUTUEbVYuCdOnMDgwYMtbnviiSdQXFzc5qGIiDqiFgu3rq4Oer3e4jaDwYDr16+3eSgioo6oxcLt3bs39u7da3Hb3r170bt37zYPRUTUEbVYuC+88AKysrKwa9cumEwmALdu/rhr1y4sXLgQU6ZMcXhIIqKOoMXLwkaPHo2qqiqkp6dDr9fD29sbNTU1UKvVmDVrFhITE2XkJCJyeTZdhztlyhSMHz8eR44cMd/gMSIiAp6ernPzRiIiZ7P5gw+enp5Wr1YgIqKWtfqeZkREZB8WLhGRJCxcIiJJWLhERJKwcImIJGHhEhFJwsIlIpKEhUtEJAkLl4hIEhYuEZEkLFwiIklsXkvhXk2fPh2XLl2CQqFAly5dsGDBAoSFheHcuXPIyMgwL4qTnZ2N0NBQWbGIiKSRVrjZ2dnw8vICAPz73//G3Llz8cUXXyArKwspKSlITk5Gfn4+MjMzsXnzZlmxiIikkTalcLtsgVu37XFzc4NOp0NJSYl5Td3ExESUlJSgurpaViwiImmkneECwLx587Bv3z4IIfDhhx9Cq9UiMDAQSqUSAKBUKhEQEACtVgtfX1+Z0YiIHE5q4S5duhQAsG3bNixbtgypqaltclw/v/a1ELreYIJaZfn/PPj7e1kcV6vt+0/hrP3tHW+rPNZeN3u11XGchfmd617zSy3c28aMGYPMzEz07NkT5eXlMBqNUCqVMBqNqKiogEajset4Ol0dTCbhoLT28/f3wpzVe+4aV6tV0OsNd43npA6xON4cZ+xvLb+MPJWVtXbtb4m/v1ebHMdZmN+5mstvaxFLmcO9fv06tFqt+evdu3eje/fu8PPzQ1hYGAoLCwEAhYWFCAsL43QCEXVIUs5w6+vrkZqaivr6eigUCnTv3h25ublwc3PDwoULkZGRgQ0bNqBbt27Izs6WEYmISDophdujRw98+umnFrf16dMHeXl5MmIQETkVP2lGRCQJC5eISBKnXKVAZA+9wWTX5TgNjQZc+7XegYmIWoeFS+2eWqWweJmdNTmpQxyYhqj1OKVARCQJC5eISBIWLhGRJCxcIiJJWLhERJKwcImIJGHhEhFJwsIlIpKEhUtEJAkLl4hIEhYuEZEkLFwiIklYuEREkrBwiYgkYeESEUnCwiUikoSFS0QkCQuXiEgSFi4RkSQsXCIiSVi4RESSsHCJiCRh4RIRScLCJSKShIVLRCSJSsaDXL16FX/5y19w8eJFuLu744EHHsCiRYvg6+uLo0ePIjMzEw0NDQgODkZOTg78/PxkxCIikkrKGa6bmxumTp2KoqIiFBQUoFevXli+fDlMJhPmzJmDzMxMFBUVISoqCsuXL5cRiYhIOimF6+3tjdjYWPPX4eHhKCsrQ3FxMTw8PBAVFQUAmDhxInbu3CkjEhGRdNLncE0mE7Zs2YK4uDhotVoEBQWZt/n6+sJkMqGmpkZ2LCIih5Myh3unxYsXo0uXLpg0aRK++uqrNjmmn59nmxzHGr3BBLXKvt9NarXll9becXuP7+j9XSW/v7+XXeOugvmd617zSy3c7OxsXLhwAbm5uVAoFNBoNCgrKzNvr66uhkKhgLe3t13H1enqYDKJto5r5u/vhTmr99i8f07qEOj1hrvG1WqVxXEAVsetccb+rpS/srL2rjF/fy+L466C+Z2rufy2FrG0KYUVK1aguLgY69evh7u7OwBgwIABuHnzJg4dOgQA2Lp1KxISEmRFIiKSSsoZ7pkzZ7Bx40aEhoZi4sSJAICQkBCsX78ey5YtQ1ZWVpPLwoiIOiIphfvQQw/h1KlTFrcNHDgQBQUFMmIQETkVP2lGRCQJC5eISBIWLhGRJCxcIiJJWLhERJKwcImIJGHhEhFJwsIlIpKEhUtEJAkLl4hIEhYuEZEkLFwiIklYuEREkrBwiYgkYeESEUnCwiUikoSFS0QkifS79hI5mt5gsuuuvQ2NBlz7td7RsYhYuNTxqFUKi3dZtnbX4ZzUITJiEXFKgYhIFhYuEZEkLFwiIklYuEREkrBwiYgkYeESEUnCwiUikoSFS0QkCQuXiEgSFi4RkSRSCjc7OxtxcXF4+OGHcfr0afP4uXPnMGHCBIwYMQITJkzA+fPnZcQhInIKKYUbHx+PTz75BMHBwU3Gs7KykJKSgqKiIqSkpCAzM1NGHCIip5BSuFFRUdBoNE3GdDodSkpKkJiYCABITExESUkJqqurZUQiIpLOaXO4Wq0WgYGBUCqVAAClUomAgABotVpnRSIicqgOsTyjn5+nwx9DrbbvpbK2v73jjs5j7/4dNb+19XPbG1fJac39nt9phavRaFBeXg6j0QilUgmj0YiKioq7ph5sodPVwWQSDkh5i7+/l8V1VJtjaX9r67Fa29/e4zt6/46cv7Ky1q7jO4O/v5dL5LSmI+e3tYidNqXg5+eHsLAwFBYWAgAKCwsRFhYGX19fZ0UiInIoKWe4S5Yswa5du1BVVYUpU6bA29sb27dvx8KFC5GRkYENGzagW7duyM7OlhGHiMgppBTu/PnzMX/+/LvG+/Tpg7y8PBkRiIicjp80IyKShIVLRCQJC5eISBIWLhGRJCxcIiJJWLhERJKwcImIJGHhEhFJwsIlIpKEhUtEJAkLl4hIEhYuEZEkLFwiIkk6xB0fiO6F3mCyayX/hkYDrv1a78BE1FGxcOm+p1YpMGf1Hpv3z0kd4sA01JFxSoGISBIWLhGRJPfllEK37p3h4X5fPnVqA5zzpda6L1vHw13FOTtqNc75UmtxSoGISBIWLhGRJCxcIiJJWLhERJKwcImIJGHhEhFJcl9eFkbUnjV3nbil6395na/rYOEStTPWrhNXq1XQ6w13jfM6X9fBKQUiIklYuEREkrSLKYVz584hIyMDNTU18Pb2RnZ2NkJDQ50di6hN2Lv2ArUte9dOceSceLso3KysLKSkpCA5ORn5+fnIzMzE5s2bnR2LqE1w7QXnak9rpzi9cHU6HUpKSrBp0yYAQGJiIhYvXozq6mr4+vradAyFws3ux/Xx8pC+v0qtgkGvbDd57N2f+Z27f3P5W/MecAZn5bT39beW817zuwkhxD0d4R4VFxcjPT0d27dvN4+NHDkSOTk56N+/vxOTERG1Lf7RjIhIEqcXrkajQXl5OYxGIwDAaDSioqICGo3GycmIiNqW0wvXz88PYWFhKCwsBAAUFhYiLCzM5vlbIiJX4fQ5XAA4e/YsMjIycO3aNXTr1g3Z2dno3bu3s2MREbWpdlG4RET3A6dPKRAR3S9YuEREkrBwiYgkYeESEUnCwnWAq1ev4uWXX8aIESMwevRozJgxA9XV1QCAo0ePIikpCSNGjMCLL74InU7n5LTWrVu3Dg8//DBOnz4NwLWyNzQ0ICsrC08//TRGjx6NBQsWALi1UNKECRMwYsQITJgwAefPn3duUCu+/vprjBkzBsnJyUhKSsKuXbsAtN/82dnZiIuLa/LzAjSftz09F0v5m3sfA618Pwhqc1evXhXff/+9+et33nlHvPnmm8JoNIphw4aJgwcPCiGEWL9+vcjIyHBWzGYVFxeLl156SQwdOlScOnXKpbILIcTixYvF0qVLhclkEkIIUVlZKYQQYvLkyWLbtm1CCCG2bdsmJk+e7LSM1phMJhEVFSVOnTolhBDixIkTIjw8XBiNxnab/+DBg6KsrMz883Jbc3nb03OxlN/a+1gI0er3AwtXgp07d4o//vGP4tixY2LUqFHmcZ1OJ8LDw52YzLKGhgbx3HPPidLSUvMPoKtkF0KIuro6ERkZKerq6pqMV1VVicjISGEwGIQQQhgMBhEZGSl0Op0zYlplMplETEyMOHTokBBCiAMHDoinn37aJfLfWVjN5W2vz+W3vzDudPt9LIRo9fvB6auFdXQmkwlbtmxBXFwctFotgoKCzNt8fX1hMpnM6wC3F6tXr0ZSUhJCQkLMY66SHQBKS0vh7e2NdevWYf/+/ejatStSU1PRqVMnBAYGQqm8teKWUqlEQEAAtFptu/pko5ubG1atWoXp06ejS5cuuH79Ot5//31otVqXyH9bc3mFEC71XO58HwOtfz9wDtfBFi9ejC5dumDSpEnOjmKTI0eOoLi4GCkpKc6O0mpGoxGlpaXo168f/vnPfyItLQ0zZ87EjRs3nB3NJgaDARs3bsSGDRvw9ddf47333sPs2bNdJn9H1FbvY57hOlB2djYuXLiA3NxcKBQKaDQalJWVmbdXV1dDoVC0qzPEgwcP4uzZs4iPjwcAXLlyBS+99BImT57c7rPfptFooFKpkJiYCAB47LHH4OPjg06dOpkXSlIqle12oaQTJ06goqICkZGRAIDIyEh07twZHh4eLpH/tjsXpvptXiGEyzyX376PAbT6vcwzXAdZsWIFiouLsX79eri7uwMABgwYgJs3b+LQoUMAgK1btyIhIcGZMe8ybdo07N27F7t378bu3bvRs2dPfPTRR5g6dWq7z36br68vYmNjsW/fPgC3/hqu0+kQGhrqEgsl9ezZE1euXMEvv/wC4NZaIzqdDg888IBL5L+tuYWpXGXRKkvvY6D172WupeAAZ86cQWJiIkJDQ9GpUycAQEhICNavX4/Dhw8jKysLDQ0NCA4ORk5ODnr06OHkxNbFxcUhNzcXffv2danspaWlmDt3LmpqaqBSqTB79mwMGTLEZRZK+te//oUPPvgAbm637jAwa9YsDBs2rN3mX7JkCXbt2oWqqir4+PjA29sb27dvbzZve3oulvKvWrXK6vsYQKveDyxcIiJJOKVARCQJC5eISBIWLhGRJCxcIiJJWLhERJKwcO9zGRkZWLlypbNjtKlRo0Zh//790h5PCIE333wT0dHRePbZZ9v02GVlZYiIiDDf1ZpcGwu3g0lLS8Obb77ZZOzAgQOIjY1FRUWFk1LJtX37dsTGxkp7vB9++AH79u3Dnj178Nlnn7XpsYOCgnDkyBHzmgOTJ09GXl5emz4GycPC7WDmzZuHb7/91vwpq4aGBixYsADp6ekICAhwcjrHMhgMTnncy5cvIzg4GF26dHHK498LnjnLxcLtYHx8fDB//nwsWLAAN27cwLp169CrVy+MHTvW6vdcu3YN06ZNQ0REBMaPH4+LFy+atx0+fBjjxo1DZGQkxo0bh8OHD5u3xcXF4bvvvjN/vXbtWqSlpQG4VfRpaWmIjY1FVFQUxo0bh6qqKgBAbW0t5s6di0GDBmHw4MFYuXKl1Tf+2rVrMWvWLMyePRsRERF45plncPLkySYZ3n//fYwePRrh4eEwGAxNchmNRuTm5mLYsGGIiIjA2LFjodVqAdz6pNOUKVMQExODESNGYMeOHVZfo/Lycrz66quIiYnB8OHD8emnnwIA8vLyMH/+fBw9ehQRERFYs2aNxedw+3UBgEuXLuHhhx82/4KYPHkyVq1ahYkTJyIiIgIvvviieaHrO/dduXIlDh06hEWLFiEiIgKLFi2ymHXWrFl48sknERkZiT/84Q84c+aMeVtGRgaysrLw8ssvIzw8HPv370d5eTlmzpyJxx9/HHFxcdi8ebN5/+PHj2PChAmIiorCoEGDsGjRIjQ2Nlp9nagF97Z6JLVXM2bMEK+88oqIiYkRZWVlVvdLT08XMTEx4tixY0Kv14s33nhDzJ49WwhxawHmqKgo8cUXXwi9Xi8KCgpEVFSUqK6uFkLcWjt037595mOtWbNG/PnPfxZCCLFlyxbxyiuviBs3bgiDwSB+/PFHUVtbK4QQYvr06WLBggXi+vXroqqqSowbN05s2bLFYr41a9aIfv36iS+//FI0NjaKDz/8UAwdOlQ0NjaaMyQlJYmysjJRX19/V64PPvhAJCYmirNnzwqTySROnDghqqurxfXr18Xvfvc78dlnnwm9Xi9++uknERMTI86cOWMxR0pKisjKyhI3b94UJSUlIjY2Vnz33XdCCCE+//xzMXHiRKuv8Z2vixBClJaWir59+wq9Xi+EEGLSpEkiPj5e/PLLL6K+vl5MmjRJ5OTkWN33008/tfpYQgiRl5cnamtrRUNDg1iyZIlISkoyb0tPTxcDBw4Uhw4dEkajUdy4cUM888wzYu3ataKhoUFcvHhRxMXFiW+//VYIIcSPP/4ojhw5IvR6vSgtLRUJCQli06ZNzT4+Wccz3A4qKysL+/fvx/Tp01tcgWnYsGF49NFHoVKpkJSUhBMnTgAAvvnmGzzwwAMYM2aMefWt3r174+uvv27x8VUqFWpqanDhwgUolUoMGDAAnp6eqKqqwp49ezB37lx06dIFfn5+eOGFF7B9+3arx+rfvz8SEhKgVqsxZcoUNDY24tixY+btkydPhkajMX/e/U55eXlITU1F79694ebmhkceeQQ+Pj745ptvEBwcjHHjxkGlUqFfv34YMWIEdu7cedcxtFotDh8+jLS0NHh4eCAsLAzjx49Hfn5+i6+DrcaOHYsHH3wQnTp1QkJCgvm/QWs8++yz8PT0hLu7O2bOnImTJ0+itrbWvD0+Ph6RkZFQKBQ4ffo0qqurMWPGDLi7u6NXr1547rnnzGf7AwYMQHh4OFQqFUJCQjBhwgQcPHjwnp/v/YrLM3ZQPXr0gI+PDx566CGb9r2tU6dO5nVXKyoqmq3E9RAAAAQtSURBVCyyDNz6I055eXmLx0xOTsaVK1fwxhtv4Nq1a0hKSsKf/vQnlJWVwWAwYNCgQeZ9TSZTs78Uevbsaf63QqFAYGBgkz8ANve9V65cwf/93//dNX758mUcP34cUVFR5jGj0YikpKS79q2oqED37t3h6elpHgsKCkJxcbHVx7WXv7+/+d+dO3du9dq3RqMRK1euxM6dO81LBgK37s/l5eUFoOnrdfnyZVRUVNz1Otz++ty5c3jnnXdQXFyM+vp6GI1G9O/fv1XZiIVLzQgICGiy5idw62xv8ODBAG4VQ319vXlbZWWl+d9qtRozZszAjBkzcOnSJUybNg0PPvgghgwZAnd3d3z//fdQqWz78bty5Yr53yaTCeXl5U3+AHh7RS1LevbsiYsXL6Jv375NxjUaDaKjo7Fp06YWHz8gIAC//vor6urqzKV7+24GtujcuTNu3rxp/vr2XLYjFBQU4D//+Q82bdqEkJAQ1NbWIjo6GsLKGlUajQYhISHmm1T+1sKFC9GvXz+8++678PT0xN/+9jcUFRU5LH9HxykFsmrIkCE4f/48CgoKYDAYsGPHDvz888946qmnAACPPPIIduzYAb1ejx9//LHJG/H777/HqVOnYDQa4enpCZVKBYVCgYCAADz55JN45513UFdXB5PJhIsXL+LAgQNWc/z000/YtWsXDAYD/v73v8Pd3R2PPfaYTc9h/PjxWL16Nc6fPw8hBE6ePImrV6/iqaeewvnz57Ft2zbo9Xro9XocP34cZ8+evesYGo0GERERWLFiBRoaGnDy5El89tlnFs+GLQkLC8PBgwdRVlaG2tpabNy40abvs6RHjx4oLS21uv369etwd3eHj48P6uvrsWLFimaP9+ijj6Jr1654//33cfPmTRiNRpw+fRrHjx83H69r167o2rUrzp49iy1btrQ6O7FwqRk+Pj7Izc3Fpk2bEBsbiw8//BC5ubnmRaJnz56NixcvIiYmBmvXrsXo0aPN31tVVYVZs2YhMjISI0eORExMDJKTkwEAy5Ytg16vx8iRIxEdHY1Zs2Y1OTv+rfj4eOzYsQPR0dHIz8/H2rVroVarbXoOU6ZMwe9//3u8+OKLGDhwIObNm4eGhgZ4enrio48+wo4dOzB48GAMGjQIy5cvt/oX+BUrVuDy5csYPHgwZsyYgZkzZ+KJJ56wKcOTTz6JkSNHIikpCWPHjsXQoUNt+j5Lnn/+eRQVFSE6OhpLliy5a/uYMWMQFBSEwYMHY9SoUQgPD2/2eEqlErm5uTh58iTi4+Px+OOPY/78+airqwMApKeno7CwEAMHDsSCBQswcuTIVmcnrodL7dzatWtx4cIFLF++3NlRiO4Zz3CJiCRh4RIRScIpBSIiSXiGS0QkCQuXiEgSFi4RkSQsXCIiSVi4RESSsHCJiCT5f2C6d//9fOwIAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 301
        },
        "id": "F_DgF3jmduZr",
        "outputId": "af51313f-5ed0-4752-de8f-0bf1ebfec4f7"
      },
      "execution_count": 159,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-c4da48f3-947f-49d9-82d8-59e87b891714\">\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>X1 transaction date</th>\n",
              "      <th>X2 house age</th>\n",
              "      <th>X3 distance to the nearest MRT station</th>\n",
              "      <th>X4 number of convenience stores</th>\n",
              "      <th>X5 latitude</th>\n",
              "      <th>X6 longitude</th>\n",
              "      <th>Y house price of unit area</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>414.000000</td>\n",
              "      <td>414.000000</td>\n",
              "      <td>414.000000</td>\n",
              "      <td>414.000000</td>\n",
              "      <td>414.000000</td>\n",
              "      <td>414.000000</td>\n",
              "      <td>414.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2013.148953</td>\n",
              "      <td>17.712560</td>\n",
              "      <td>1083.885689</td>\n",
              "      <td>4.094203</td>\n",
              "      <td>24.969030</td>\n",
              "      <td>121.533361</td>\n",
              "      <td>37.980193</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.281995</td>\n",
              "      <td>11.392485</td>\n",
              "      <td>1262.109595</td>\n",
              "      <td>2.945562</td>\n",
              "      <td>0.012410</td>\n",
              "      <td>0.015347</td>\n",
              "      <td>13.606488</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>2012.666667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>23.382840</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>24.932070</td>\n",
              "      <td>121.473530</td>\n",
              "      <td>7.600000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2012.916667</td>\n",
              "      <td>9.025000</td>\n",
              "      <td>289.324800</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>24.963000</td>\n",
              "      <td>121.528085</td>\n",
              "      <td>27.700000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2013.166667</td>\n",
              "      <td>16.100000</td>\n",
              "      <td>492.231300</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>24.971100</td>\n",
              "      <td>121.538630</td>\n",
              "      <td>38.450000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2013.416667</td>\n",
              "      <td>28.150000</td>\n",
              "      <td>1454.279000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>24.977455</td>\n",
              "      <td>121.543305</td>\n",
              "      <td>46.600000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2013.583333</td>\n",
              "      <td>43.800000</td>\n",
              "      <td>6488.021000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>25.014590</td>\n",
              "      <td>121.566270</td>\n",
              "      <td>117.500000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c4da48f3-947f-49d9-82d8-59e87b891714')\"\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-c4da48f3-947f-49d9-82d8-59e87b891714 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-c4da48f3-947f-49d9-82d8-59e87b891714');\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",
              "  "
            ],
            "text/plain": [
              "       X1 transaction date  ...  Y house price of unit area\n",
              "count           414.000000  ...                  414.000000\n",
              "mean           2013.148953  ...                   37.980193\n",
              "std               0.281995  ...                   13.606488\n",
              "min            2012.666667  ...                    7.600000\n",
              "25%            2012.916667  ...                   27.700000\n",
              "50%            2013.166667  ...                   38.450000\n",
              "75%            2013.416667  ...                   46.600000\n",
              "max            2013.583333  ...                  117.500000\n",
              "\n",
              "[8 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 159
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Standardizing the data\n",
        "data.iloc[:,0:-1] = data.iloc[:,0:-1].apply(lambda x: (x-x.mean())/ x.std(), axis=0)\n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 207
        },
        "id": "n9MrH-wGdBA1",
        "outputId": "b5737e33-9bb5-41a3-dacb-9132a2763a99"
      },
      "execution_count": 160,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-69467358-b6b7-4157-be06-0638b8140e51\">\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>X1 transaction date</th>\n",
              "      <th>X2 house age</th>\n",
              "      <th>X3 distance to the nearest MRT station</th>\n",
              "      <th>X4 number of convenience stores</th>\n",
              "      <th>X5 latitude</th>\n",
              "      <th>X6 longitude</th>\n",
              "      <th>Y house price of unit area</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-0.823725</td>\n",
              "      <td>1.254111</td>\n",
              "      <td>-0.791537</td>\n",
              "      <td>2.004982</td>\n",
              "      <td>1.124070</td>\n",
              "      <td>0.448220</td>\n",
              "      <td>37.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-0.823725</td>\n",
              "      <td>0.156896</td>\n",
              "      <td>-0.615866</td>\n",
              "      <td>1.665488</td>\n",
              "      <td>0.911342</td>\n",
              "      <td>0.400654</td>\n",
              "      <td>42.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.540380</td>\n",
              "      <td>-0.387322</td>\n",
              "      <td>-0.413515</td>\n",
              "      <td>0.307513</td>\n",
              "      <td>1.485063</td>\n",
              "      <td>0.687352</td>\n",
              "      <td>47.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.244867</td>\n",
              "      <td>-0.387322</td>\n",
              "      <td>-0.413515</td>\n",
              "      <td>0.307513</td>\n",
              "      <td>1.485063</td>\n",
              "      <td>0.687352</td>\n",
              "      <td>54.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-1.119238</td>\n",
              "      <td>-1.115873</td>\n",
              "      <td>-0.549332</td>\n",
              "      <td>0.307513</td>\n",
              "      <td>0.833180</td>\n",
              "      <td>0.592220</td>\n",
              "      <td>43.1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-69467358-b6b7-4157-be06-0638b8140e51')\"\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-69467358-b6b7-4157-be06-0638b8140e51 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-69467358-b6b7-4157-be06-0638b8140e51');\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",
              "  "
            ],
            "text/plain": [
              "   X1 transaction date  X2 house age  ...  X6 longitude  Y house price of unit area\n",
              "0            -0.823725      1.254111  ...      0.448220                        37.9\n",
              "1            -0.823725      0.156896  ...      0.400654                        42.2\n",
              "2             1.540380     -0.387322  ...      0.687352                        47.3\n",
              "3             1.244867     -0.387322  ...      0.687352                        54.8\n",
              "4            -1.119238     -1.115873  ...      0.592220                        43.1\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 160
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Box plot for feature selection\n",
        "data.plot.box(color='DarkBlue', figsize=(20,12), subplots=True, layout=(2,4))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 855
        },
        "id": "NL60KTM4crn2",
        "outputId": "48c3055a-49c1-4528-9681-699ab545428c"
      },
      "execution_count": 161,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "X1 transaction date                          AxesSubplot(0.125,0.536818;0.168478x0.343182)\n",
              "X2 house age                              AxesSubplot(0.327174,0.536818;0.168478x0.343182)\n",
              "X3 distance to the nearest MRT station    AxesSubplot(0.529348,0.536818;0.168478x0.343182)\n",
              "X4 number of convenience stores           AxesSubplot(0.731522,0.536818;0.168478x0.343182)\n",
              "X5 latitude                                     AxesSubplot(0.125,0.125;0.168478x0.343182)\n",
              "X6 longitude                                 AxesSubplot(0.327174,0.125;0.168478x0.343182)\n",
              "Y house price of unit area                   AxesSubplot(0.529348,0.125;0.168478x0.343182)\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 161
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1440x864 with 8 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Correlation matrix\n",
        "correlation_matrix = data.corr().round(2)\n",
        "correlation_matrix"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 270
        },
        "id": "x9QbylBycvbS",
        "outputId": "b8dc19d3-c54f-49d7-bf50-a3b6d766f26a"
      },
      "execution_count": 162,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-91b97bff-5537-4706-8e2d-0a45fc7df351\">\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>X1 transaction date</th>\n",
              "      <th>X2 house age</th>\n",
              "      <th>X3 distance to the nearest MRT station</th>\n",
              "      <th>X4 number of convenience stores</th>\n",
              "      <th>X5 latitude</th>\n",
              "      <th>X6 longitude</th>\n",
              "      <th>Y house price of unit area</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>X1 transaction date</th>\n",
              "      <td>1.00</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.04</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>0.09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>X2 house age</th>\n",
              "      <td>0.02</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>-0.05</td>\n",
              "      <td>-0.21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>X3 distance to the nearest MRT station</th>\n",
              "      <td>0.06</td>\n",
              "      <td>0.03</td>\n",
              "      <td>1.00</td>\n",
              "      <td>-0.60</td>\n",
              "      <td>-0.59</td>\n",
              "      <td>-0.81</td>\n",
              "      <td>-0.67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>X4 number of convenience stores</th>\n",
              "      <td>0.01</td>\n",
              "      <td>0.05</td>\n",
              "      <td>-0.60</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.44</td>\n",
              "      <td>0.45</td>\n",
              "      <td>0.57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>X5 latitude</th>\n",
              "      <td>0.04</td>\n",
              "      <td>0.05</td>\n",
              "      <td>-0.59</td>\n",
              "      <td>0.44</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.41</td>\n",
              "      <td>0.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>X6 longitude</th>\n",
              "      <td>-0.04</td>\n",
              "      <td>-0.05</td>\n",
              "      <td>-0.81</td>\n",
              "      <td>0.45</td>\n",
              "      <td>0.41</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Y house price of unit area</th>\n",
              "      <td>0.09</td>\n",
              "      <td>-0.21</td>\n",
              "      <td>-0.67</td>\n",
              "      <td>0.57</td>\n",
              "      <td>0.55</td>\n",
              "      <td>0.52</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-91b97bff-5537-4706-8e2d-0a45fc7df351')\"\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-91b97bff-5537-4706-8e2d-0a45fc7df351 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-91b97bff-5537-4706-8e2d-0a45fc7df351');\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",
              "  "
            ],
            "text/plain": [
              "                                        X1 transaction date  ...  Y house price of unit area\n",
              "X1 transaction date                                    1.00  ...                        0.09\n",
              "X2 house age                                           0.02  ...                       -0.21\n",
              "X3 distance to the nearest MRT station                 0.06  ...                       -0.67\n",
              "X4 number of convenience stores                        0.01  ...                        0.57\n",
              "X5 latitude                                            0.04  ...                        0.55\n",
              "X6 longitude                                          -0.04  ...                        0.52\n",
              "Y house price of unit area                             0.09  ...                        1.00\n",
              "\n",
              "[7 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 162
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Heatmap for feature selection\n",
        "sns.set(rc={'figure.figsize':(11.7,8.27)})\n",
        "sns.heatmap(data=correlation_matrix, annot=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 728
        },
        "id": "-Ltf9Vz7dp-B",
        "outputId": "6205280d-c2be-4103-8fe3-957204f341c9"
      },
      "execution_count": 163,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f009623e510>"
            ]
          },
          "metadata": {},
          "execution_count": 163
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 842.4x595.44 with 2 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(abs(data.corr())['Y house price of unit area'].sort_values(ascending=False))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EptIOWHEIN3V",
        "outputId": "db97d4a4-4e90-48e9-8582-49c04646e010"
      },
      "execution_count": 173,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Y house price of unit area                1.000000\n",
            "X3 distance to the nearest MRT station    0.673613\n",
            "X4 number of convenience stores           0.571005\n",
            "X5 latitude                               0.546307\n",
            "X6 longitude                              0.523287\n",
            "X2 house age                              0.210567\n",
            "X1 transaction date                       0.087529\n",
            "Name: Y house price of unit area, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def plotScatterMatrix(df, plotSize):\n",
        "    df = df.select_dtypes(include =[np.number])\n",
        "    df = df.dropna('columns')\n",
        "    df = df[[col for col in df if df[col].nunique() > 1]] \n",
        "    columnNames = list(df)\n",
        "    if len(columnNames) > 10:\n",
        "        columnNames = columnNames[:10]\n",
        "    df = df[columnNames]\n",
        "    ax = pd.plotting.scatter_matrix(df, alpha=0.75, figsize=[plotSize, plotSize], diagonal='kde')\n",
        "    corrs = df.corr().values\n",
        "    plt.suptitle('Scatter and Density Plot')\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "SA_-Wl1xfYi9"
      },
      "execution_count": 164,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plotScatterMatrix(data[[\"X3 distance to the nearest MRT station\", \"X4 number of convenience stores\", \"Y house price of unit area\"]],12)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 849
        },
        "id": "USUUlsFQfZPA",
        "outputId": "c041da00-3358-4dda-bfeb-bd8ac51699e6"
      },
      "execution_count": 165,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:4: FutureWarning: In a future version of pandas all arguments of DataFrame.dropna will be keyword-only\n",
            "  after removing the cwd from sys.path.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 864x864 with 9 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Selecting features that are most relevant to create or model\n",
        "X = data[[\"X3 distance to the nearest MRT station\", \"X4 number of convenience stores\"]] \n",
        "Y = data['Y house price of unit area']"
      ],
      "metadata": {
        "id": "U69pZgbog7uM"
      },
      "execution_count": 167,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(X.shape)\n",
        "print(Y.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ulgITCFehPy-",
        "outputId": "21375439-4b4d-4f0c-8a72-4ab46e290c4b"
      },
      "execution_count": 243,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(414, 2)\n",
            "(414,)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Splitting the dataset\n",
        "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.2, random_state=6)"
      ],
      "metadata": {
        "id": "a_BBKDDRfMm7"
      },
      "execution_count": 244,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(X_train.shape)\n",
        "print(Y_train.shape)\n",
        "print(X_test.shape)\n",
        "print(Y_test.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "opUhEvj5hKHt",
        "outputId": "ad09bf01-32e4-43ad-a367-e88315cd4c22"
      },
      "execution_count": 245,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(331, 2)\n",
            "(331,)\n",
            "(83, 2)\n",
            "(83,)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Linear Regression implementation using our own class\n",
        "from io import BufferedIOBase\n",
        "class Lin_Regression:\n",
        "  def __init__(self, learn_rate=0.01, n_iter=1000, epoch_num_list=list(), rmse_list=list(), r2_list=list(), mae_list=list(), grad_weight=list(), grad_descent = list()):\n",
        "      self.learn_rate = learn_rate\n",
        "      self.n_iter = n_iter\n",
        "      self.bias = None\n",
        "      self.weights = None\n",
        "      self.epoch_num_list = epoch_num_list\n",
        "      self.rmse_list = rmse_list\n",
        "      self.r2_list = r2_list\n",
        "      self.mae_list = mae_list\n",
        "      self.grad_weight= grad_weight\n",
        "      self.grad_descent = grad_descent\n",
        "  \n",
        "  def fit(self, x, y):\n",
        "    sample_count, feature_count = x.shape\n",
        "    self.bias = 0\n",
        "    self.weights = np.zeros(feature_count)\n",
        "\n",
        "    for i in range(self.n_iter):\n",
        "      y_prediction = np.dot(x, self.weights) + self.bias\n",
        "      db = (1/sample_count) * np.sum(y_prediction - y)\n",
        "      dw = (1/sample_count) * np.dot(x.T, (y_prediction - y))\n",
        "      self.weights -= self.learn_rate * dw\n",
        "      self.bias -= self.learn_rate * db\n",
        "\n",
        "      temp1 = list() \n",
        "      temp1.append(self.bias)\n",
        "      temp1.extend(self.weights)\n",
        "      self.grad_weight.append(temp1)\n",
        "      temp2 = list()\n",
        "      temp2.append(db)\n",
        "      temp2.extend(dw)\n",
        "      self.grad_descent.append(temp2)\n",
        "\n",
        "\n",
        "      if i!=0:\n",
        "        y_train_prediction = np.dot(x, self.weights) + self.bias\n",
        "        rmse = (np.sqrt(mean_squared_error(Y_train, y_train_prediction)))\n",
        "        r2 = r2_score(Y_train, y_train_prediction)\n",
        "        mae = mean_absolute_error(Y_train, y_train_prediction)\n",
        "\n",
        "        self.epoch_num_list.append(i);\n",
        "        self.rmse_list.append(rmse)\n",
        "        self.r2_list.append(r2)\n",
        "        self.mae_list.append(mae)\n",
        "      \n",
        "    \n",
        "  \n",
        "  \n",
        "  def predict(self, x):\n",
        "    y_prediction = np.dot(x, self.weights) + self.bias\n",
        "    return y_prediction"
      ],
      "metadata": {
        "id": "F2FQKRjOfH89"
      },
      "execution_count": 272,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Learning Rate = 0.01"
      ],
      "metadata": {
        "id": "lNVmw4FIh27V"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "my_regresser = Lin_Regression(learn_rate=0.01, n_iter=1000)\n",
        "my_regresser.fit(X_train, Y_train)\n",
        "y_train_prediction = my_regresser.predict(X_test)\n",
        "rmse = (np.sqrt(mean_squared_error(Y_test, y_train_prediction)))\n",
        "r2 = r2_score(Y_test, y_train_prediction)\n",
        "mae = mean_absolute_error(Y_test, y_train_prediction)\n",
        "print(\"R-squared:\", r2)\n",
        "print(\"Mean Absolute Error: \", mae)\n",
        "print(\"RMSE: \", rmse)\n",
        "y_test_prediction = my_regresser.predict(X_test)\n",
        "errData=None\n",
        "errData=pd.DataFrame()\n",
        "errData['Iterations'] = my_regresser.epoch_num_list\n",
        "errData['RMSE'] = my_regresser.rmse_list\n",
        "errData['R2'] = my_regresser.r2_list\n",
        "errData['Mean Absolute Error'] = my_regresser.mae_list\n",
        "errData.plot(kind='line', x ='Iterations', y='RMSE', figsize=(15,12), xlabel='Iterations (Epochs)', ylabel='Error Values (RMSE)')\n",
        "errData.plot(kind='line', x ='Iterations', y='Mean Absolute Error', figsize=(15,12), xlabel='Iterations (Epochs)', ylabel='Error Values (Mean Absolute Error)')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "wXmgiJI-hDsE",
        "outputId": "5207406e-c9c3-4593-d64a-bdc7ebcc1658"
      },
      "execution_count": 273,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "R-squared: 0.44692808908621406\n",
            "Mean Absolute Error:  7.376090476914096\n",
            "RMSE:  10.208060280848846\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0096a697d0>"
            ]
          },
          "metadata": {},
          "execution_count": 273
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x864 with 1 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x864 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x_ax = range(len(Y_test))\n",
        "plt.figure(figsize=(35,16))\n",
        "plt.plot(x_ax, Y_test, label=\"original\")\n",
        "plt.plot(x_ax, y_test_prediction, label=\"predicted\")\n",
        "plt.title(\"House price training and predicted data\")\n",
        "plt.xlabel('Sample number')\n",
        "plt.ylabel('House Price')\n",
        "plt.legend(loc='best',fancybox=True, shadow=True)\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 953
        },
        "id": "Brh7c-cPhU0z",
        "outputId": "7adc3194-5242-49e3-af14-e6800e68a04e"
      },
      "execution_count": 275,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2520x1152 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "MYS6nDazh8kn"
      },
      "execution_count": 172,
      "outputs": []
    }
  ]
}