house_price_prediction/end_to_end_ml_project_regression.ipynb

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      "name": "end_to_end_ml_project_regression.ipynb",
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      "name": "python3",
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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Import libraries"
      ],
      "metadata": {
        "id": "n6_pC533LvCQ"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vCQ0_ez7LIZA"
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      "outputs": [],
      "source": [
        "import os\n",
        "import tarfile\n",
        "import urllib\n",
        "import urllib.request\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from zlib import crc32\n",
        "import joblib\n",
        "from scipy.stats import randint\n",
        "\n",
        "from sklearn.model_selection import train_test_split, StratifiedShuffleSplit\n",
        "from sklearn.model_selection import cross_val_score, GridSearchCV, RandomizedSearchCV\n",
        "from sklearn.impute import SimpleImputer\n",
        "from sklearn.preprocessing import OrdinalEncoder, OneHotEncoder\n",
        "from sklearn.base import BaseEstimator, TransformerMixin\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.linear_model import LinearRegression, Ridge\n",
        "from sklearn.tree import DecisionTreeRegressor\n",
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from sklearn.svm import SVR\n",
        "from sklearn.neural_network import MLPRegressor\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from scipy import stats\n",
        "\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "from pandas.plotting import scatter_matrix\n",
        "\n",
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "os.chdir(\"/content/drive/My Drive/hands-on-ml\")\n",
        "%ls"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VcOOV5iH0_g8",
        "outputId": "31fc48c4-92f9-4e56-a3a9-819aabb27f92"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[0m\u001b[01;34mdatasets\u001b[0m/  \u001b[01;34mnotebooks\u001b[0m/\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Load the Data Set"
      ],
      "metadata": {
        "id": "VVqq6f9vQ-rX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "DOWNLOAD_ROOT = \"https://raw.githubusercontent.com/ageron/handson-ml2/master\"\n",
        "HOUSING_PATH = os.path.join(\"datasets\", \"housing\")\n",
        "HOUSING_URL = os.path.join(DOWNLOAD_ROOT, HOUSING_PATH+\"/housing.tgz\")"
      ],
      "metadata": {
        "id": "7PuZJhY6Q9jb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def fetch_housing_data():\n",
        "    os.makedirs(HOUSING_PATH, exist_ok=True)\n",
        "    tgz_path = os.path.join(HOUSING_PATH, \"housing.tgz\")\n",
        "    urllib.request.urlretrieve(HOUSING_URL, filename=tgz_path)\n",
        "    housing_tgz = tarfile.open(tgz_path)\n",
        "    housing_tgz.extractall(path=HOUSING_PATH)\n",
        "    housing_tgz.close()\n",
        "\n",
        "\n",
        "def load_housing_data():\n",
        "    csv_path = os.path.join(HOUSING_PATH, \"housing.csv\")\n",
        "    return pd.read_csv(csv_path)"
      ],
      "metadata": {
        "id": "5TCYKtnNOxAn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fetch_housing_data()"
      ],
      "metadata": {
        "id": "3I_a2nAdTg9n"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "housing_df = load_housing_data()\n",
        "\n",
        "housing_df.head()"
      ],
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            "text/plain": [
              "   longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
              "0    -122.23     37.88                41.0        880.0           129.0   \n",
              "1    -122.22     37.86                21.0       7099.0          1106.0   \n",
              "2    -122.24     37.85                52.0       1467.0           190.0   \n",
              "3    -122.25     37.85                52.0       1274.0           235.0   \n",
              "4    -122.25     37.85                52.0       1627.0           280.0   \n",
              "\n",
              "   population  households  median_income  median_house_value ocean_proximity  \n",
              "0       322.0       126.0         8.3252            452600.0        NEAR BAY  \n",
              "1      2401.0      1138.0         8.3014            358500.0        NEAR BAY  \n",
              "2       496.0       177.0         7.2574            352100.0        NEAR BAY  \n",
              "3       558.0       219.0         5.6431            341300.0        NEAR BAY  \n",
              "4       565.0       259.0         3.8462            342200.0        NEAR BAY  "
            ],
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              "      <th></th>\n",
              "      <th>longitude</th>\n",
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              "      <th>0</th>\n",
              "      <td>-122.23</td>\n",
              "      <td>37.88</td>\n",
              "      <td>41.0</td>\n",
              "      <td>880.0</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-122.22</td>\n",
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              "      <td>1106.0</td>\n",
              "      <td>2401.0</td>\n",
              "      <td>1138.0</td>\n",
              "      <td>8.3014</td>\n",
              "      <td>358500.0</td>\n",
              "      <td>NEAR BAY</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-122.24</td>\n",
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              "      <td>52.0</td>\n",
              "      <td>1467.0</td>\n",
              "      <td>190.0</td>\n",
              "      <td>496.0</td>\n",
              "      <td>177.0</td>\n",
              "      <td>7.2574</td>\n",
              "      <td>352100.0</td>\n",
              "      <td>NEAR BAY</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-122.25</td>\n",
              "      <td>37.85</td>\n",
              "      <td>52.0</td>\n",
              "      <td>1274.0</td>\n",
              "      <td>235.0</td>\n",
              "      <td>558.0</td>\n",
              "      <td>219.0</td>\n",
              "      <td>5.6431</td>\n",
              "      <td>341300.0</td>\n",
              "      <td>NEAR BAY</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-122.25</td>\n",
              "      <td>37.85</td>\n",
              "      <td>52.0</td>\n",
              "      <td>1627.0</td>\n",
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              "      <td>565.0</td>\n",
              "      <td>259.0</td>\n",
              "      <td>3.8462</td>\n",
              "      <td>342200.0</td>\n",
              "      <td>NEAR BAY</td>\n",
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          "metadata": {},
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    },
    {
      "cell_type": "markdown",
      "source": [
        "# Exploratory Data Analysis - EDA"
      ],
      "metadata": {
        "id": "B4OvRUs0UwmI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "housing_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6BIDusKGUIvJ",
        "outputId": "1d8b3e35-5dd5-4043-96ed-19d966fb59a4"
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      "execution_count": null,
      "outputs": [
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          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 20640 entries, 0 to 20639\n",
            "Data columns (total 10 columns):\n",
            " #   Column              Non-Null Count  Dtype  \n",
            "---  ------              --------------  -----  \n",
            " 0   longitude           20640 non-null  float64\n",
            " 1   latitude            20640 non-null  float64\n",
            " 2   housing_median_age  20640 non-null  float64\n",
            " 3   total_rooms         20640 non-null  float64\n",
            " 4   total_bedrooms      20433 non-null  float64\n",
            " 5   population          20640 non-null  float64\n",
            " 6   households          20640 non-null  float64\n",
            " 7   median_income       20640 non-null  float64\n",
            " 8   median_house_value  20640 non-null  float64\n",
            " 9   ocean_proximity     20640 non-null  object \n",
            "dtypes: float64(9), object(1)\n",
            "memory usage: 1.6+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_df[\"ocean_proximity\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LQl6XutIU-z9",
        "outputId": "6789bcc8-957c-480a-848a-4700a25d9364"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<1H OCEAN     9136\n",
              "INLAND        6551\n",
              "NEAR OCEAN    2658\n",
              "NEAR BAY      2290\n",
              "ISLAND           5\n",
              "Name: ocean_proximity, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_df.describe()"
      ],
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        "colab": {
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          "height": 300
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        "id": "0OWzFC_HVj30",
        "outputId": "4a6f6f1f-d3fd-402f-fa0b-c222e19e6851"
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      "execution_count": null,
      "outputs": [
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          "data": {
            "text/plain": [
              "          longitude      latitude  housing_median_age   total_rooms  \\\n",
              "count  20640.000000  20640.000000        20640.000000  20640.000000   \n",
              "mean    -119.569704     35.631861           28.639486   2635.763081   \n",
              "std        2.003532      2.135952           12.585558   2181.615252   \n",
              "min     -124.350000     32.540000            1.000000      2.000000   \n",
              "25%     -121.800000     33.930000           18.000000   1447.750000   \n",
              "50%     -118.490000     34.260000           29.000000   2127.000000   \n",
              "75%     -118.010000     37.710000           37.000000   3148.000000   \n",
              "max     -114.310000     41.950000           52.000000  39320.000000   \n",
              "\n",
              "       total_bedrooms    population    households  median_income  \\\n",
              "count    20433.000000  20640.000000  20640.000000   20640.000000   \n",
              "mean       537.870553   1425.476744    499.539680       3.870671   \n",
              "std        421.385070   1132.462122    382.329753       1.899822   \n",
              "min          1.000000      3.000000      1.000000       0.499900   \n",
              "25%        296.000000    787.000000    280.000000       2.563400   \n",
              "50%        435.000000   1166.000000    409.000000       3.534800   \n",
              "75%        647.000000   1725.000000    605.000000       4.743250   \n",
              "max       6445.000000  35682.000000   6082.000000      15.000100   \n",
              "\n",
              "       median_house_value  \n",
              "count        20640.000000  \n",
              "mean        206855.816909  \n",
              "std         115395.615874  \n",
              "min          14999.000000  \n",
              "25%         119600.000000  \n",
              "50%         179700.000000  \n",
              "75%         264725.000000  \n",
              "max         500001.000000  "
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>longitude</th>\n",
              "      <th>latitude</th>\n",
              "      <th>housing_median_age</th>\n",
              "      <th>total_rooms</th>\n",
              "      <th>total_bedrooms</th>\n",
              "      <th>population</th>\n",
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              "      <th>count</th>\n",
              "      <td>20640.000000</td>\n",
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              "      <td>20640.000000</td>\n",
              "      <td>20433.000000</td>\n",
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              "      <th>mean</th>\n",
              "      <td>-119.569704</td>\n",
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              "      <td>2635.763081</td>\n",
              "      <td>537.870553</td>\n",
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              "      <td>499.539680</td>\n",
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              "      <th>std</th>\n",
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              "      <td>2181.615252</td>\n",
              "      <td>421.385070</td>\n",
              "      <td>1132.462122</td>\n",
              "      <td>382.329753</td>\n",
              "      <td>1.899822</td>\n",
              "      <td>115395.615874</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-124.350000</td>\n",
              "      <td>32.540000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.499900</td>\n",
              "      <td>14999.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>-121.800000</td>\n",
              "      <td>33.930000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>1447.750000</td>\n",
              "      <td>296.000000</td>\n",
              "      <td>787.000000</td>\n",
              "      <td>280.000000</td>\n",
              "      <td>2.563400</td>\n",
              "      <td>119600.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>-118.490000</td>\n",
              "      <td>34.260000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>2127.000000</td>\n",
              "      <td>435.000000</td>\n",
              "      <td>1166.000000</td>\n",
              "      <td>409.000000</td>\n",
              "      <td>3.534800</td>\n",
              "      <td>179700.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>-118.010000</td>\n",
              "      <td>37.710000</td>\n",
              "      <td>37.000000</td>\n",
              "      <td>3148.000000</td>\n",
              "      <td>647.000000</td>\n",
              "      <td>1725.000000</td>\n",
              "      <td>605.000000</td>\n",
              "      <td>4.743250</td>\n",
              "      <td>264725.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>-114.310000</td>\n",
              "      <td>41.950000</td>\n",
              "      <td>52.000000</td>\n",
              "      <td>39320.000000</td>\n",
              "      <td>6445.000000</td>\n",
              "      <td>35682.000000</td>\n",
              "      <td>6082.000000</td>\n",
              "      <td>15.000100</td>\n",
              "      <td>500001.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9f5fe2c9-12d6-4ca0-b8c8-eb7270877764')\"\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-9f5fe2c9-12d6-4ca0-b8c8-eb7270877764 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-9f5fe2c9-12d6-4ca0-b8c8-eb7270877764');\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": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_df.hist(bins=50, figsize=(20, 15))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "RCjgnWGOVr8x",
        "outputId": "75eb2cae-611d-48f3-c01a-4209d1c5100b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f5ff1655510>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5ff1629bd0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5ff15ef210>],\n",
              "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f5ff15a5810>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5ff155ce10>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5ff1520410>],\n",
              "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f5ff14d6a90>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5ff150cfd0>,\n",
              "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5ff1499050>]],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1080 with 9 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Create a test set and neve look at it.**"
      ],
      "metadata": {
        "id": "yx1pcL3tX4x6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def split_train_test(data, test_ratio):\n",
        "    shuffle_indices = np.random.permutation(len(data))\n",
        "    test_set_size = int(len(data) * test_ratio)\n",
        "    test_indices = shuffle_indices[:test_set_size]\n",
        "    train_indices = shuffle_indices[test_set_size:]\n",
        "    return data.iloc[train_indices], data.iloc[test_indices]\n",
        "\n",
        "\n",
        "def test_set_check(identifier, test_ratio):\n",
        "    return crc32(np.int64(identifier)) & 0xffffffff < test_ratio * 2 ** 32\n",
        "\n",
        "\n",
        "def split_train_test_by(data, test_ratio, id_column):\n",
        "    ids = data[id_column]\n",
        "    in_test_set = ids.apply(lambda id_: test_set_check(id_, test_ratio))\n",
        "    return data.loc[-in_test_set], data.loc[in_test_set]"
      ],
      "metadata": {
        "id": "auOeg9ylWr_m"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "np.random.seed(42)\n",
        "train_set, test_set = split_train_test(housing_df, 0.2)\n",
        "\n",
        "print(f\"Amount of train dataset: {len(train_set)}\")\n",
        "print(f\"Amount of test dataset: {len(test_set)}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wYhiW9sLYub1",
        "outputId": "39aa0b18-1ab9-406e-cc70-dffbb0893441"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Amount of train dataset: 16512\n",
            "Amount of test dataset: 4128\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_with_id = housing_df.reset_index()\n",
        "train_set, test_set = split_train_test_by(housing_with_id, 0.2, \"index\")"
      ],
      "metadata": {
        "id": "6TlxbpjXZA3x"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "housing_with_id[\"id\"] = housing_df[\"longitude\"] * 1000 + housing_df[\"latitude\"]\n",
        "\n",
        "train_set, test_set = split_train_test_by(housing_with_id, 0.2, \"id\")"
      ],
      "metadata": {
        "id": "Im1BR9pTavij"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Preprocessing"
      ],
      "metadata": {
        "id": "9mga7dTlcnMM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "housing_df[\"income_cat\"] = pd.cut(housing_df[\"median_income\"], \n",
        "                                  bins=[0., 1.5, 3.0, 4.5, 6, np.inf],\n",
        "                                  labels=[1, 2, 3, 4, 5])"
      ],
      "metadata": {
        "id": "XQy-WFgoboD2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "housing_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "8QSaSDVPdD52",
        "outputId": "702b407e-ed39-40b3-88ef-4fba9da70479"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
              "0    -122.23     37.88                41.0        880.0           129.0   \n",
              "1    -122.22     37.86                21.0       7099.0          1106.0   \n",
              "2    -122.24     37.85                52.0       1467.0           190.0   \n",
              "3    -122.25     37.85                52.0       1274.0           235.0   \n",
              "4    -122.25     37.85                52.0       1627.0           280.0   \n",
              "\n",
              "   population  households  median_income  median_house_value ocean_proximity  \\\n",
              "0       322.0       126.0         8.3252            452600.0        NEAR BAY   \n",
              "1      2401.0      1138.0         8.3014            358500.0        NEAR BAY   \n",
              "2       496.0       177.0         7.2574            352100.0        NEAR BAY   \n",
              "3       558.0       219.0         5.6431            341300.0        NEAR BAY   \n",
              "4       565.0       259.0         3.8462            342200.0        NEAR BAY   \n",
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          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_df[\"income_cat\"].hist()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "sesSljXvdFnP",
        "outputId": "4ded4a2f-2ee7-49e8-bf23-b5c1589ca551"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5ff11b6250>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "split = StratifiedShuffleSplit(n_splits=1, test_size=0.2, random_state=7)\n",
        "\n",
        "for train_index, test_index in split.split(housing_df, housing_df[\"income_cat\"]):\n",
        "    strat_train_set = housing_df.loc[train_index]\n",
        "    strat_test_set = housing_df.loc[test_index]"
      ],
      "metadata": {
        "id": "AV2oKl4xdKPL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "strat_test_set[\"income_cat\"].value_counts() / len(strat_test_set)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ruFAN20Udun6",
        "outputId": "e6e91e6d-c492-481c-82eb-696f517c215f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3    0.350533\n",
              "2    0.318798\n",
              "4    0.176357\n",
              "5    0.114341\n",
              "1    0.039971\n",
              "Name: income_cat, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for set_ in (strat_train_set, strat_test_set):\n",
        "    set_.drop(\"income_cat\", axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "rBKgIxQyd6Mn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Discover and Visualize the Data to Gain Insights"
      ],
      "metadata": {
        "id": "81j9U60jihY-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "housing = strat_train_set.copy()"
      ],
      "metadata": {
        "id": "Fm2zBUyeeQij"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Geographical graphs**"
      ],
      "metadata": {
        "id": "MMeIIFUukFXL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "housing.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "xHXWHAEvir0Y",
        "outputId": "f5b04ebf-9e44-4c36-d61b-076bc58cb310"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5ff06cbf10>"
            ]
          },
          "metadata": {},
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "PSAkTkhaizw2",
        "outputId": "9631b789-75a5-4d4c-9387-d30dbf392bba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5ff06af050>"
            ]
          },
          "metadata": {},
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.4,\n",
        "             s=housing[\"population\"]/100, label=\"population\", figsize=(10, 7),\n",
        "             c=\"median_house_value\", cmap=plt.get_cmap(\"jet\"), colorbar=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 436
        },
        "id": "4_3VLYGVi8j_",
        "outputId": "173e5089-0657-4256-b40e-fc2a11676847"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f5ff10d3fd0>"
            ]
          },
          "metadata": {},
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x504 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Look for correlations**"
      ],
      "metadata": {
        "id": "JU5CkERZkMqj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "corr_matrix = housing.corr()"
      ],
      "metadata": {
        "id": "LNtDF1vCjlUc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "corr_matrix[\"median_house_value\"].sort_values(ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "huN2fO_fkWNm",
        "outputId": "2ba0872b-8721-4610-dd17-5a11d1779f63"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "median_house_value    1.000000\n",
              "median_income         0.686289\n",
              "total_rooms           0.135723\n",
              "housing_median_age    0.109030\n",
              "households            0.066404\n",
              "total_bedrooms        0.050819\n",
              "population           -0.024405\n",
              "longitude            -0.045513\n",
              "latitude             -0.145896\n",
              "Name: median_house_value, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "attributes = [\"median_house_value\", \"median_income\", \"total_rooms\", \"housing_median_age\"]\n",
        "\n",
        "scatter_matrix(housing[attributes], figsize=(14, 10))\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 627
        },
        "id": "riWbJ0p9kcrv",
        "outputId": "5011233f-ac24-478b-b030-a4592c4f6c60"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1008x720 with 16 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing.plot(kind=\"scatter\", x=\"median_income\", y=\"median_house_value\", alpha=0.1)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "id": "OW8nxAC1lV8i",
        "outputId": "da65fa24-6777-42c4-bd7c-60d6bee3df98"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Experiment attribute combinations**"
      ],
      "metadata": {
        "id": "4WU2Ah28nksj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "housing[\"rooms_per_household\"] = housing[\"total_rooms\"]/housing[\"households\"]\n",
        "housing[\"bedrooms_per_room\"] = housing[\"total_bedrooms\"]/housing[\"total_rooms\"]\n",
        "housing[\"population_per_household\"] = housing[\"population\"]/housing[\"households\"]"
      ],
      "metadata": {
        "id": "4y5Jw6qsluIb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "corr_matrix = housing.corr()"
      ],
      "metadata": {
        "id": "nc9HvT6LntTS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "corr_matrix[\"median_house_value\"].sort_values(ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ceb4c1fc-9d9f-450e-87ae-ae3547028a53",
        "id": "IbZpI1sintTY"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "median_house_value          1.000000\n",
              "median_income               0.686289\n",
              "rooms_per_household         0.147401\n",
              "total_rooms                 0.135723\n",
              "housing_median_age          0.109030\n",
              "households                  0.066404\n",
              "total_bedrooms              0.050819\n",
              "population_per_household   -0.021876\n",
              "population                 -0.024405\n",
              "longitude                  -0.045513\n",
              "latitude                   -0.145896\n",
              "bedrooms_per_room          -0.253819\n",
              "Name: median_house_value, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Prepare the data for ML Algorithms"
      ],
      "metadata": {
        "id": "_9Mi3kjapEKZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "housing = strat_train_set.drop(\"median_house_value\", axis=1)\n",
        "housing_labels = strat_train_set[\"median_house_value\"].copy()"
      ],
      "metadata": {
        "id": "Hhfzel4Yu6Hm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Data Cleaning**"
      ],
      "metadata": {
        "id": "MGHXupUDpIU0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "housing.dropna(subset=[\"total_bedrooms\"]) # option 1\n",
        "housing.drop(\"total_bedrooms\", axis=1) # option 2\n",
        "median = housing[\"total_bedrooms\"].median() # option 3\n",
        "\n",
        "housing[\"total_bedrooms\"].fillna(median, inplace=True)"
      ],
      "metadata": {
        "id": "Rbw76EZ1nuO8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "imputer = SimpleImputer(strategy=\"median\")"
      ],
      "metadata": {
        "id": "qQDkw8sPp5w3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "housing_num = housing.drop(\"ocean_proximity\", axis=1)"
      ],
      "metadata": {
        "id": "0GkFa-7VqELj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "housing_num.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "T8q17STerKVk",
        "outputId": "bbba37e2-c029-4285-900c-093f57dd4e49"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
              "8088     -118.21     33.82                34.0       1719.0           398.0   \n",
              "15259    -117.27     33.03                25.0       1787.0           311.0   \n",
              "710      -122.08     37.68                26.0       1167.0           370.0   \n",
              "12828    -121.45     38.70                24.0       2159.0           369.0   \n",
              "18294    -122.10     37.39                35.0       2471.0           349.0   \n",
              "\n",
              "       population  households  median_income  \n",
              "8088       1444.0       372.0         2.8438  \n",
              "15259      1108.0       311.0         3.9826  \n",
              "710         253.0       137.0         2.4196  \n",
              "12828      1141.0       355.0         3.9853  \n",
              "18294       881.0       342.0         7.6229  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e644fe07-0ff4-44c2-b3f6-6952d86ff415\">\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>longitude</th>\n",
              "      <th>latitude</th>\n",
              "      <th>housing_median_age</th>\n",
              "      <th>total_rooms</th>\n",
              "      <th>total_bedrooms</th>\n",
              "      <th>population</th>\n",
              "      <th>households</th>\n",
              "      <th>median_income</th>\n",
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              "      <th>8088</th>\n",
              "      <td>-118.21</td>\n",
              "      <td>33.82</td>\n",
              "      <td>34.0</td>\n",
              "      <td>1719.0</td>\n",
              "      <td>398.0</td>\n",
              "      <td>1444.0</td>\n",
              "      <td>372.0</td>\n",
              "      <td>2.8438</td>\n",
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              "    <tr>\n",
              "      <th>15259</th>\n",
              "      <td>-117.27</td>\n",
              "      <td>33.03</td>\n",
              "      <td>25.0</td>\n",
              "      <td>1787.0</td>\n",
              "      <td>311.0</td>\n",
              "      <td>1108.0</td>\n",
              "      <td>311.0</td>\n",
              "      <td>3.9826</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>710</th>\n",
              "      <td>-122.08</td>\n",
              "      <td>37.68</td>\n",
              "      <td>26.0</td>\n",
              "      <td>1167.0</td>\n",
              "      <td>370.0</td>\n",
              "      <td>253.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>2.4196</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12828</th>\n",
              "      <td>-121.45</td>\n",
              "      <td>38.70</td>\n",
              "      <td>24.0</td>\n",
              "      <td>2159.0</td>\n",
              "      <td>369.0</td>\n",
              "      <td>1141.0</td>\n",
              "      <td>355.0</td>\n",
              "      <td>3.9853</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18294</th>\n",
              "      <td>-122.10</td>\n",
              "      <td>37.39</td>\n",
              "      <td>35.0</td>\n",
              "      <td>2471.0</td>\n",
              "      <td>349.0</td>\n",
              "      <td>881.0</td>\n",
              "      <td>342.0</td>\n",
              "      <td>7.6229</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "          const element = document.querySelector('#df-e644fe07-0ff4-44c2-b3f6-6952d86ff415');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "imputer.fit(housing_num)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_Fb7e1WvqNIF",
        "outputId": "6a4f62f4-183e-477a-f669-d56cc599af58"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SimpleImputer(strategy='median')"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "imputer.statistics_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JygWW6UsqSDt",
        "outputId": "a22f5223-0ca0-43e3-b84f-4802c47d099a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-118.5    ,   34.26   ,   29.     , 2125.     ,  435.     ,\n",
              "       1166.5    ,  409.     ,    3.53715])"
            ]
          },
          "metadata": {},
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_num.median().values"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0x9yk5UsqWnw",
        "outputId": "fead1b25-0bdf-4137-c227-308ad70ea80a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-118.5    ,   34.26   ,   29.     , 2125.     ,  435.     ,\n",
              "       1166.5    ,  409.     ,    3.53715])"
            ]
          },
          "metadata": {},
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X = imputer.transform(housing_num)"
      ],
      "metadata": {
        "id": "HNLH9Xdlqc7D"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "housing_tr = pd.DataFrame(X, columns=housing_num.columns,\n",
        "                          index=housing_num.index)\n",
        "\n",
        "housing_tr.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "uCHjgEZMqjTc",
        "outputId": "86988dc3-a2ed-4246-cb07-fad4d56aec7d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
              "8088     -118.21     33.82                34.0       1719.0           398.0   \n",
              "15259    -117.27     33.03                25.0       1787.0           311.0   \n",
              "710      -122.08     37.68                26.0       1167.0           370.0   \n",
              "12828    -121.45     38.70                24.0       2159.0           369.0   \n",
              "18294    -122.10     37.39                35.0       2471.0           349.0   \n",
              "\n",
              "       population  households  median_income  \n",
              "8088       1444.0       372.0         2.8438  \n",
              "15259      1108.0       311.0         3.9826  \n",
              "710         253.0       137.0         2.4196  \n",
              "12828      1141.0       355.0         3.9853  \n",
              "18294       881.0       342.0         7.6229  "
            ],
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              "\n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
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          "metadata": {},
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Handling Text and Categorical Attributes"
      ],
      "metadata": {
        "id": "yO0Z_9EIrUru"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "housing_cat = housing[[\"ocean_proximity\"]]\n",
        "\n",
        "housing_cat.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Rm2k7hX5qui9",
        "outputId": "3a998773-1c70-49ba-fac2-d06bed0513ba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      ocean_proximity\n",
              "8088       NEAR OCEAN\n",
              "15259      NEAR OCEAN\n",
              "710          NEAR BAY\n",
              "12828          INLAND\n",
              "18294        NEAR BAY"
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              "      <th>8088</th>\n",
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              "      \n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      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",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-db3459e4-677f-4ecb-8d6f-fbd59f32d387 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "            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",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ordinal_encoder = OrdinalEncoder()\n",
        "\n",
        "housing_cat_encoded = ordinal_encoder.fit_transform(housing_cat)\n",
        "\n",
        "housing_cat_encoded[:5]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "alfocS8Yrelm",
        "outputId": "940a78e2-6b8a-4081-970c-3a91d0a39793"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[4.],\n",
              "       [4.],\n",
              "       [3.],\n",
              "       [1.],\n",
              "       [3.]])"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ordinal_encoder.categories_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TNzAW7xgrw9S",
        "outputId": "72a86530-c8e5-4697-efa8-c916655dcf93"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[array(['<1H OCEAN', 'INLAND', 'ISLAND', 'NEAR BAY', 'NEAR OCEAN'],\n",
              "       dtype=object)]"
            ]
          },
          "metadata": {},
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cat_encoder = OneHotEncoder()\n",
        "\n",
        "housing_cat_1hot = cat_encoder.fit_transform(housing_cat)\n",
        "\n",
        "housing_cat_1hot"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PhyUJ6arsEgT",
        "outputId": "fbf90bdf-a3b9-461d-d828-81c00ea62cf0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<16512x5 sparse matrix of type '<class 'numpy.float64'>'\n",
              "\twith 16512 stored elements in Compressed Sparse Row format>"
            ]
          },
          "metadata": {},
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cat_encoder.categories_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_9G6epxxshy6",
        "outputId": "a9b2f6b0-b0e0-44e1-f74c-157f502ebd16"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[array(['<1H OCEAN', 'INLAND', 'ISLAND', 'NEAR BAY', 'NEAR OCEAN'],\n",
              "       dtype=object)]"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Custom Transformers"
      ],
      "metadata": {
        "id": "98PDLaPVtl4u"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "rooms_ix, bedrooms_ix, population_ix, households_ix = 3, 4, 5, 6\n",
        "\n",
        "class CombinedAttributeAdder(BaseEstimator, TransformerMixin):\n",
        "    def __init__(self, add_bedrooms_per_room=True): # no *args or **kwargs\n",
        "        self.add_bedrooms_per_room = add_bedrooms_per_room\n",
        "    def fit(self, X, y=None):\n",
        "        return self # nothing else to do\n",
        "    def transform(self, X):\n",
        "        rooms_per_household = X[:, rooms_ix] / X[:, households_ix]\n",
        "        population_per_household = X[:, population_ix] / X[:, households_ix]\n",
        "\n",
        "        if (self.add_bedrooms_per_room):\n",
        "            bedrooms_per_room = X[:, bedrooms_ix] / X[:, rooms_ix]\n",
        "            return np.c_(X, rooms_per_household, population_per_household,\n",
        "                         bedrooms_per_room)\n",
        "        return np.c_[X, rooms_per_household, population_per_household]"
      ],
      "metadata": {
        "id": "JcIsw6Oxs25I"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "attr_adder = CombinedAttributeAdder(add_bedrooms_per_room=False)\n",
        "housing_extra_attribs = attr_adder.transform(housing.values)"
      ],
      "metadata": {
        "id": "2tyL-NAUvKoT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Transformation Pipeline"
      ],
      "metadata": {
        "id": "xI9UvIgfp2b0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "num_pipeline = Pipeline([\n",
        "    (\"imputer\", SimpleImputer(strategy=\"median\")),\n",
        "    (\"attribs_adder\", CombinedAttributeAdder(add_bedrooms_per_room=False)),\n",
        "    (\"std_scaler\", StandardScaler()),\n",
        "])\n",
        "\n",
        "housing_num_tr = num_pipeline.fit_transform(housing_num)"
      ],
      "metadata": {
        "id": "gIbL7gW4vV4M"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "housing.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "cvH1dg7gs7kV",
        "outputId": "603019a7-9ce0-4eb0-93e1-86a8bf5399cd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
              "8088     -118.21     33.82                34.0       1719.0           398.0   \n",
              "15259    -117.27     33.03                25.0       1787.0           311.0   \n",
              "710      -122.08     37.68                26.0       1167.0           370.0   \n",
              "12828    -121.45     38.70                24.0       2159.0           369.0   \n",
              "18294    -122.10     37.39                35.0       2471.0           349.0   \n",
              "\n",
              "       population  households  median_income ocean_proximity  \n",
              "8088       1444.0       372.0         2.8438      NEAR OCEAN  \n",
              "15259      1108.0       311.0         3.9826      NEAR OCEAN  \n",
              "710         253.0       137.0         2.4196        NEAR BAY  \n",
              "12828      1141.0       355.0         3.9853          INLAND  \n",
              "18294       881.0       342.0         7.6229        NEAR BAY  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d22ea3d7-d48b-4820-8a40-5445fd574d14\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>longitude</th>\n",
              "      <th>latitude</th>\n",
              "      <th>housing_median_age</th>\n",
              "      <th>total_rooms</th>\n",
              "      <th>total_bedrooms</th>\n",
              "      <th>population</th>\n",
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              "      <th>median_income</th>\n",
              "      <th>ocean_proximity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>8088</th>\n",
              "      <td>-118.21</td>\n",
              "      <td>33.82</td>\n",
              "      <td>34.0</td>\n",
              "      <td>1719.0</td>\n",
              "      <td>398.0</td>\n",
              "      <td>1444.0</td>\n",
              "      <td>372.0</td>\n",
              "      <td>2.8438</td>\n",
              "      <td>NEAR OCEAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15259</th>\n",
              "      <td>-117.27</td>\n",
              "      <td>33.03</td>\n",
              "      <td>25.0</td>\n",
              "      <td>1787.0</td>\n",
              "      <td>311.0</td>\n",
              "      <td>1108.0</td>\n",
              "      <td>311.0</td>\n",
              "      <td>3.9826</td>\n",
              "      <td>NEAR OCEAN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>710</th>\n",
              "      <td>-122.08</td>\n",
              "      <td>37.68</td>\n",
              "      <td>26.0</td>\n",
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              "      <td>370.0</td>\n",
              "      <td>253.0</td>\n",
              "      <td>137.0</td>\n",
              "      <td>2.4196</td>\n",
              "      <td>NEAR BAY</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12828</th>\n",
              "      <td>-121.45</td>\n",
              "      <td>38.70</td>\n",
              "      <td>24.0</td>\n",
              "      <td>2159.0</td>\n",
              "      <td>369.0</td>\n",
              "      <td>1141.0</td>\n",
              "      <td>355.0</td>\n",
              "      <td>3.9853</td>\n",
              "      <td>INLAND</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18294</th>\n",
              "      <td>-122.10</td>\n",
              "      <td>37.39</td>\n",
              "      <td>35.0</td>\n",
              "      <td>2471.0</td>\n",
              "      <td>349.0</td>\n",
              "      <td>881.0</td>\n",
              "      <td>342.0</td>\n",
              "      <td>7.6229</td>\n",
              "      <td>NEAR BAY</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d22ea3d7-d48b-4820-8a40-5445fd574d14')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "      padding: 0 0 0 0;\n",
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              "    }\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",
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              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d22ea3d7-d48b-4820-8a40-5445fd574d14 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-d22ea3d7-d48b-4820-8a40-5445fd574d14');\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": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "num_attribs = list(housing_num)\n",
        "cat_attribs = [\"ocean_proximity\"]\n",
        "\n",
        "full_pipeline = ColumnTransformer([\n",
        "    (\"num\", num_pipeline, num_attribs),\n",
        "    (\"cat\", OneHotEncoder(), cat_attribs),\n",
        "])\n",
        "\n",
        "housing_prepared = full_pipeline.fit_transform(housing)"
      ],
      "metadata": {
        "id": "-AbE551SqdhP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Selected and Train a Model"
      ],
      "metadata": {
        "id": "WusBKis3ty_d"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Using Linear Regression Algorithms"
      ],
      "metadata": {
        "id": "fGDLEpICwMR3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "lin_reg = LinearRegression()\n",
        "lin_reg.fit(housing_prepared, housing_labels)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MCcOVR4ps6eH",
        "outputId": "e28f7762-bf4e-4c44-88e2-09c7cc207da9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LinearRegression()"
            ]
          },
          "metadata": {},
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "some_data = housing.iloc[:5]\n",
        "some_labels = housing_labels.iloc[:5]\n",
        "some_data_prepared = full_pipeline.transform(some_data)\n",
        "\n",
        "print(f\"Predictions: {lin_reg.predict(some_data_prepared)}\")\n",
        "print(f\"Labels: {list(some_labels)}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DTVMTxnwuLN_",
        "outputId": "b49d23ad-c3e8-4576-c8eb-71b23a3f097c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predictions: [183296.2700776  217303.20434967 189139.40854917 140555.75473093\n",
            " 387630.11947135]\n",
            "Labels: [139300.0, 215800.0, 275000.0, 90400.0, 500001.0]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_predictions = lin_reg.predict(housing_prepared)\n",
        "lin_mse = mean_squared_error(housing_labels, housing_predictions)\n",
        "lin_rmse = np.sqrt(lin_mse)\n",
        "lin_rmse"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LzsswgS9v_Co",
        "outputId": "7f2647af-fd22-4285-d247-f76b962e170a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "68306.45468762996"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Using Decision Tree Algorithms"
      ],
      "metadata": {
        "id": "nJSSyUEaw8kA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "tree_reg = DecisionTreeRegressor()\n",
        "tree_reg.fit(housing_prepared, housing_labels)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MYnPMlc7wk1-",
        "outputId": "56809f6c-f81a-441b-8a42-69936a319f2b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeRegressor()"
            ]
          },
          "metadata": {},
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_predictions = tree_reg.predict(housing_prepared)\n",
        "tree_mse = mean_squared_error(housing_labels, housing_predictions)\n",
        "tree_rmse = np.sqrt(tree_mse)\n",
        "tree_rmse"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hDQgV9aoxHmp",
        "outputId": "ae9f41fe-5fa7-4ca1-a7c3-9ac722b0b230"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.0"
            ]
          },
          "metadata": {},
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Using K-fold cross validation"
      ],
      "metadata": {
        "id": "JnsOwNnyyzx-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "scores = cross_val_score(tree_reg, housing_prepared, housing_labels, scoring=\"neg_mean_squared_error\", cv=10)\n",
        "tree_rmse_scored = np.sqrt(-scores)"
      ],
      "metadata": {
        "id": "OcX-MVmbxZy0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def display_scores(scores):\n",
        "    print(f\"Scores: {scores}\")\n",
        "    print(f\"Mean: {scores.mean()}\")\n",
        "    print(f\"Standard Deviation: {scores.std()}\")"
      ],
      "metadata": {
        "id": "msmdbxISyDVY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "display_scores(tree_rmse_scored)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h6ZLy_vGycZR",
        "outputId": "2b9decfc-b45b-407d-eb6d-7d1f2fcf9604"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Scores: [69352.09984611 70504.22012284 73073.41212579 69653.65917091\n",
            " 67294.05810054 70668.11621999 73739.21274151 73279.82876186\n",
            " 72866.27653126 72496.71213777]\n",
            "Mean: 71292.75957585897\n",
            "Standard Deviation: 2012.067482203733\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "lin_scores = cross_val_score(lin_reg, housing_prepared, housing_labels,\n",
        "                             scoring=\"neg_mean_squared_error\", cv=10)\n",
        "lin_rmse_scores = np.sqrt(-lin_scores)\n",
        "display_scores(lin_rmse_scores)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Fj9DBNyRyila",
        "outputId": "bcd29bd6-d26d-4a47-e81d-8e538f04d8ca"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Scores: [67982.21481055 64916.84179865 67663.58158155 69840.29357413\n",
            " 68861.25183523 66759.29899158 71668.7008457  72227.86817392\n",
            " 68569.8192162  66272.65462753]\n",
            "Mean: 68476.25254550632\n",
            "Standard Deviation: 2183.1541083953402\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Using Random Forest Algorithm"
      ],
      "metadata": {
        "id": "hgYwOxDHziMO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "forest_reg = RandomForestRegressor()\n",
        "forest_reg.fit(housing_prepared, housing_labels)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7AbLVgtYzRso",
        "outputId": "a7711767-646d-4c3e-a3ad-a00ed7bf38dc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestRegressor()"
            ]
          },
          "metadata": {},
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_predictions = forest_reg.predict(housing_prepared)\n",
        "forest_mse = mean_squared_error(housing_labels, housing_predictions)\n",
        "forest_rmse = np.sqrt(forest_mse)\n",
        "forest_rmse"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VMVstwwYzwmz",
        "outputId": "f7b7e64f-4022-4b91-9be4-b60b1cb59bb0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "18715.155623759474"
            ]
          },
          "metadata": {},
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "forest_scores = cross_val_score(forest_reg, housing_prepared, housing_labels,\n",
        "                             scoring=\"neg_mean_squared_error\", cv=10)\n",
        "forest_rmse_scores = np.sqrt(-forest_scores)\n",
        "display_scores(forest_rmse_scores)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HZ0HHFKkz4hp",
        "outputId": "45fed942-2381-4014-cda5-287d38914a0e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Scores: [48668.35179515 47489.68316368 49401.79293201 51372.63033041\n",
            " 50343.43642976 49729.30521542 53245.57423546 52551.16667803\n",
            " 51225.41079974 50341.75230704]\n",
            "Mean: 50436.910388667966\n",
            "Standard Deviation: 1651.0569479940773\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**save the model**"
      ],
      "metadata": {
        "id": "yqQi4Itd0vS8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "joblib.dump(forest_reg, \"reports/models/forest_regressor.pkl\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_pBHU0eu0C49",
        "outputId": "4ac5822f-ae14-4ef4-f30a-ce0c5d0f1311"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['reports/models/forest_regressor.pkl']"
            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**load the model**"
      ],
      "metadata": {
        "id": "EYX3DTPt1f2h"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "forest_reg = joblib.load(\"reports/models/forest_regressor.pkl\")"
      ],
      "metadata": {
        "id": "yqLVBpo41X6p"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Using Ridge Algorithm"
      ],
      "metadata": {
        "id": "khR5d1XodJ_c"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ridge_reg = Ridge()\n",
        "ridge_reg.fit(housing_prepared, housing_labels)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "df06f47c-3859-44ba-83f8-8b17fc72ecc8",
        "id": "Zz3u4QBvdJ_d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Ridge()"
            ]
          },
          "metadata": {},
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_predictions = ridge_reg.predict(housing_prepared)\n",
        "ridge_mse = mean_squared_error(housing_labels, housing_predictions)\n",
        "ridge_rmse = np.sqrt(ridge_mse)\n",
        "ridge_rmse"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "95770ee9-28a6-43f9-e73e-8b88f559b57b",
        "id": "PhRgtuHZdJ_d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "68307.57146670665"
            ]
          },
          "metadata": {},
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ridge_scores = cross_val_score(ridge_reg, housing_prepared, housing_labels,\n",
        "                             scoring=\"neg_mean_squared_error\", cv=10)\n",
        "ridge_rmse_scores = np.sqrt(-ridge_scores)\n",
        "display_scores(ridge_rmse_scores)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "715548b4-3cbb-48c8-cdb0-3260bdfacb39",
        "id": "ijNMTqajdJ_d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Scores: [67945.64319828 64918.79263188 67663.63526504 69838.28153132\n",
            " 68868.31729411 66759.20077715 71667.53781342 72225.32151113\n",
            " 68654.07675667 66272.97738278]\n",
            "Mean: 68481.37841617699\n",
            "Standard Deviation: 2183.5777654775234\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Using Support Vector Machine Algorithm"
      ],
      "metadata": {
        "id": "QZrqwl39db4_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "svr_reg = SVR()\n",
        "svr_reg.fit(housing_prepared, housing_labels)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c33c582c-a8f9-42db-c1f0-bcea2801a259",
        "id": "7dqdZuq9db5A"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SVR()"
            ]
          },
          "metadata": {},
          "execution_count": 102
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_predictions = svr_reg.predict(housing_prepared)\n",
        "svr_mse = mean_squared_error(housing_labels, housing_predictions)\n",
        "svr_rmse = np.sqrt(svr_mse)\n",
        "svr_rmse"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "de1bc490-d11f-4ba1-fa45-5b79a284d1cb",
        "id": "u5p7nkb9db5A"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "118115.73199642693"
            ]
          },
          "metadata": {},
          "execution_count": 103
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "svr_scores = cross_val_score(svr_reg, housing_prepared, housing_labels,\n",
        "                             scoring=\"neg_mean_squared_error\", cv=10)\n",
        "svr_rmse_scores = np.sqrt(-svr_scores)\n",
        "display_scores(svr_rmse_scores)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3d2de4b8-8403-4ad0-dc49-b172e05b0419",
        "id": "6tTexcO_db5B"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Scores: [118707.39340601 114122.7557943  119037.77783226 118372.58821844\n",
            " 117762.60652311 123364.03066552 121216.27961538 120809.12094321\n",
            " 111953.20779874 115811.5006657 ]\n",
            "Mean: 118115.72614626514\n",
            "Standard Deviation: 3240.8845768507076\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**save the model**"
      ],
      "metadata": {
        "id": "UcqgymcTeO47"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "joblib.dump(svr_reg, \"reports/models/svr_regressor.pkl\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2f0ac723-dd61-48fb-b9fd-0251ad4bd8cf",
        "id": "uC9znpZ9eO47"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['reports/models/svr_regressor.pkl']"
            ]
          },
          "metadata": {},
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**load the model**"
      ],
      "metadata": {
        "id": "m8UtpvAweO48"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "svr_reg = joblib.load(\"reports/models/svr_regressor.pkl\")"
      ],
      "metadata": {
        "id": "5CXnEJIieO48"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Using Neural Network Algorithm"
      ],
      "metadata": {
        "id": "OyQIXZPSd8ox"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "mlp_reg = MLPRegressor()\n",
        "mlp_reg.fit(housing_prepared, housing_labels)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fbbe4e19-1d07-416c-d247-8226b6bdb414",
        "id": "aTRP0DDCd8oy"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MLPRegressor()"
            ]
          },
          "metadata": {},
          "execution_count": 105
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "housing_predictions = mlp_reg.predict(housing_prepared)\n",
        "mlp_mse = mean_squared_error(housing_labels, housing_predictions)\n",
        "mlp_rmse = np.sqrt(mlp_mse)\n",
        "mlp_rmse"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1aLvCH-Fd8oy",
        "outputId": "1fad81ad-f8ae-4114-b816-efe8231be2c0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "169641.5894075765"
            ]
          },
          "metadata": {},
          "execution_count": 106
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "mlp_scores = cross_val_score(mlp_reg, housing_prepared, housing_labels,\n",
        "                             scoring=\"neg_mean_squared_error\", cv=10)\n",
        "mlp_rmse_scores = np.sqrt(-mlp_scores)\n",
        "display_scores(mlp_rmse_scores)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "agOZsuxNd8oy",
        "outputId": "fe0b8790-0020-45c1-f76d-89b993b3f926"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Scores: [175693.78911961 170594.73551275 179131.38274863 181167.97810816\n",
            " 179960.07296856 181611.09983406 180143.63517222 181361.9739967\n",
            " 171165.32015364 176110.44326961]\n",
            "Mean: 177694.0430883933\n",
            "Standard Deviation: 3919.1811498092047\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/neural_network/_multilayer_perceptron.py:696: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.\n",
            "  ConvergenceWarning,\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Fine Tunning "
      ],
      "metadata": {
        "id": "DXlQbHUhembi"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Grid Search for Random Forest Algorithm"
      ],
      "metadata": {
        "id": "21psn2JmerTt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "param_grid = [\n",
        "    {\"n_estimators\": [3, 10, 30],\n",
        "     \"max_features\": [2, 4, 6, 8]},\n",
        "    {\"bootstrap\": [False],\n",
        "     \"n_estimators\": [3, 10],\n",
        "     \"max_features\": [2, 3, 4]}\n",
        "]\n",
        "forest_reg = RandomForestRegressor()\n",
        "grid_search_forest = GridSearchCV(forest_reg, param_grid, cv=5,\n",
        "                                  scoring=\"neg_mean_squared_error\",\n",
        "                                  return_train_score=True)\n",
        "\n",
        "grid_search_forest.fit(housing_prepared, housing_labels)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wjsdtsd6eqcj",
        "outputId": "fc9b70cf-3923-4654-afc1-1afe818c6c12"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "GridSearchCV(cv=5, estimator=RandomForestRegressor(),\n",
              "             param_grid=[{'max_features': [2, 4, 6, 8],\n",
              "                          'n_estimators': [3, 10, 30]},\n",
              "                         {'bootstrap': [False], 'max_features': [2, 3, 4],\n",
              "                          'n_estimators': [3, 10]}],\n",
              "             return_train_score=True, scoring='neg_mean_squared_error')"
            ]
          },
          "metadata": {},
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "grid_search_forest.best_params_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IXLrEGG81sFq",
        "outputId": "fa341597-3cee-4e39-89b1-fa6d808b47ea"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'max_features': 6, 'n_estimators': 30}"
            ]
          },
          "metadata": {},
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "grid_search_forest.best_estimator_"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N1NBMGuOg_oV",
        "outputId": "f8b2bd06-f915-414c-f29c-1446af6150e4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestRegressor(max_features=6, n_estimators=30)"
            ]
          },
          "metadata": {},
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cvres = grid_search_forest.cv_results_\n",
        "for mean_score, params in zip(cvres[\"mean_test_score\"], cvres[\"params\"]):\n",
        "    print(np.sqrt(-mean_score), params)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e9LZvaPKhSWk",
        "outputId": "e721e6b3-ece6-4bc8-e765-c5960c0a5bf5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "62636.71655813004 {'max_features': 2, 'n_estimators': 3}\n",
            "54909.45639673096 {'max_features': 2, 'n_estimators': 10}\n",
            "52122.56292068315 {'max_features': 2, 'n_estimators': 30}\n",
            "60031.56738843703 {'max_features': 4, 'n_estimators': 3}\n",
            "52995.33570270459 {'max_features': 4, 'n_estimators': 10}\n",
            "50065.9057108277 {'max_features': 4, 'n_estimators': 30}\n",
            "59783.123801119815 {'max_features': 6, 'n_estimators': 3}\n",
            "51903.60875690477 {'max_features': 6, 'n_estimators': 10}\n",
            "49847.43829595041 {'max_features': 6, 'n_estimators': 30}\n",
            "59155.46453463879 {'max_features': 8, 'n_estimators': 3}\n",
            "52049.04353053182 {'max_features': 8, 'n_estimators': 10}\n",
            "50459.50502732662 {'max_features': 8, 'n_estimators': 30}\n",
            "61834.40996518536 {'bootstrap': False, 'max_features': 2, 'n_estimators': 3}\n",
            "53748.59331736547 {'bootstrap': False, 'max_features': 2, 'n_estimators': 10}\n",
            "59523.18418665026 {'bootstrap': False, 'max_features': 3, 'n_estimators': 3}\n",
            "52459.95922006172 {'bootstrap': False, 'max_features': 3, 'n_estimators': 10}\n",
            "57553.22384593175 {'bootstrap': False, 'max_features': 4, 'n_estimators': 3}\n",
            "50994.29114927398 {'bootstrap': False, 'max_features': 4, 'n_estimators': 10}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Randomized Search CV Random Forest Algorithm"
      ],
      "metadata": {
        "id": "_c2dSLBSifzK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from re import S\n",
        "rf_p_dist={\n",
        "    'max_depth':[3,5,10,None],\n",
        "    'n_estimators':[10,100,200,300,400,500],\n",
        "    'max_features':randint(1,3),\n",
        "    'bootstrap':[True,False],\n",
        "    'min_samples_leaf':randint(1,4),\n",
        "}\n",
        "\n",
        "nbr_iter = 40\n",
        "\n",
        "forest_reg = RandomForestRegressor()\n",
        "\n",
        "rdmsearch = RandomizedSearchCV(forest_reg, param_distributions=rf_p_dist,\n",
        "                               scoring=\"neg_mean_squared_error\",\n",
        "                                n_jobs=-1, n_iter=nbr_iter, cv=9)\n",
        "#CV = Cross-Validation ( here using Stratified KFold CV)\n",
        "rdmsearch.fit(housing_prepared, housing_labels)\n",
        "\n",
        "ht_params = rdmsearch.best_params_\n",
        "ht_score = rdmsearch.best_score_\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n6r4kJObhpfH",
        "outputId": "1899351d-6c79-45a0-ba62-c565f48606d4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/joblib/externals/loky/process_executor.py:705: UserWarning: A worker stopped while some jobs were given to the executor. This can be caused by a too short worker timeout or by a memory leak.\n",
            "  \"timeout or by a memory leak.\", UserWarning\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ht_params"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fi6QEQmRjjvj",
        "outputId": "d309f0b9-ba28-4725-8c11-1bdcf7d039f5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'bootstrap': False,\n",
              " 'max_depth': None,\n",
              " 'max_features': 2,\n",
              " 'min_samples_leaf': 1,\n",
              " 'n_estimators': 500}"
            ]
          },
          "metadata": {},
          "execution_count": 117
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.sqrt(-ht_score)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UmQklM4XjtA3",
        "outputId": "be76ecca-b3ab-4b57-b308-28804a6abcc9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "49739.22012798475"
            ]
          },
          "metadata": {},
          "execution_count": 124
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Analyze the best Model and Their Errors"
      ],
      "metadata": {
        "id": "X2BFUqhOkX2L"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "feature_importance = grid_search_forest.best_estimator_.feature_importances_\n",
        "feature_importance"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WI18jubgjt8Y",
        "outputId": "ff20cef5-b94d-46eb-e650-07b4bfb91b71"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([8.02603995e-02, 7.57727905e-02, 4.44088073e-02, 2.04749444e-02,\n",
              "       1.82931683e-02, 1.93099784e-02, 1.74922179e-02, 3.79275814e-01,\n",
              "       7.57514482e-02, 1.07431653e-01, 8.55477270e-03, 1.44261236e-01,\n",
              "       1.49616477e-04, 3.98853870e-03, 4.57461328e-03])"
            ]
          },
          "metadata": {},
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "extra_attribs = [\"rooms_per_hold\", \"pop_per_hold\", \"bedrooms_per_room\"]\n",
        "cat_encoder = full_pipeline.named_transformers_[\"cat\"]\n",
        "cat_one_hot_attribs = list(cat_encoder.categories_[0])\n",
        "attributes = num_attribs + extra_attribs + cat_one_hot_attribs\n",
        "\n",
        "sorted(zip(feature_importance, attributes), reverse=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p8uWTbb5ksKX",
        "outputId": "da6deeac-49b0-496a-c50f-48eda51b0b17"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(0.37927581448894976, 'median_income'),\n",
              " (0.14426123633990687, '<1H OCEAN'),\n",
              " (0.10743165345386146, 'pop_per_hold'),\n",
              " (0.0802603994828308, 'longitude'),\n",
              " (0.07577279050634, 'latitude'),\n",
              " (0.07575144817790859, 'rooms_per_hold'),\n",
              " (0.0444088073414255, 'housing_median_age'),\n",
              " (0.020474944435279703, 'total_rooms'),\n",
              " (0.019309978432909346, 'population'),\n",
              " (0.0182931683167641, 'total_bedrooms'),\n",
              " (0.01749221787034783, 'households'),\n",
              " (0.008554772698997144, 'bedrooms_per_room'),\n",
              " (0.004574613280082811, 'NEAR BAY'),\n",
              " (0.0039885386976170585, 'ISLAND'),\n",
              " (0.00014961647677876532, 'INLAND')]"
            ]
          },
          "metadata": {},
          "execution_count": 120
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Evaluate my Sytem on the Test Set"
      ],
      "metadata": {
        "id": "hJt0Wb3cl-kL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "final_model = grid_search_forest.best_estimator_\n",
        "\n",
        "X_test = strat_test_set.drop(\"median_house_value\", axis=1)\n",
        "y_test = strat_test_set[\"median_house_value\"]\n",
        "\n",
        "X_test_prepared = full_pipeline.transform(X_test)"
      ],
      "metadata": {
        "id": "wwvwnGZLl09z"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "final_predictions = final_model.predict(X_test_prepared)\n",
        "\n",
        "final_mse = mean_squared_error(y_test, final_predictions)\n",
        "final_rmse = np.sqrt(final_mse)"
      ],
      "metadata": {
        "id": "xDE9RnLYmZdv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "confidence = 0.95\n",
        "\n",
        "squared_errors = (final_predictions - y_test) ** 2\n",
        "\n",
        "np.sqrt(stats.t.interval(confidence, len(squared_errors)-1,\n",
        "                         loc=squared_errors.mean(),\n",
        "                         scale=stats.sem(squared_errors)))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Scz3zXZdmyOx",
        "outputId": "25e9f805-2745-457d-a968-372d5c5c629d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([45656.35528638, 49925.61706587])"
            ]
          },
          "metadata": {},
          "execution_count": 123
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "kDUdHsninUyt"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}