{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "F0gpOUYrXhMk",
        "outputId": "c8093652-601d-46f7-8cd4-2b2afbd38d5f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "   Id  MSSubClass MSZoning  LotArea LotConfig BldgType  OverallCond  \\\n",
            "0   0          60       RL     8450    Inside     1Fam            5   \n",
            "1   1          20       RL     9600       FR2     1Fam            8   \n",
            "2   2          60       RL    11250    Inside     1Fam            5   \n",
            "3   3          70       RL     9550    Corner     1Fam            5   \n",
            "4   4          60       RL    14260       FR2     1Fam            5   \n",
            "\n",
            "   YearBuilt  YearRemodAdd Exterior1st  BsmtFinSF2  TotalBsmtSF  SalePrice  \n",
            "0       2003          2003     VinylSd         0.0        856.0   208500.0  \n",
            "1       1976          1976     MetalSd         0.0       1262.0   181500.0  \n",
            "2       2001          2002     VinylSd         0.0        920.0   223500.0  \n",
            "3       1915          1970     Wd Sdng         0.0        756.0   140000.0  \n",
            "4       2000          2000     VinylSd         0.0       1145.0   250000.0  \n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "dataset = pd.read_excel(\"HousePricePrediction.xlsx\")\n",
        "\n",
        "print(dataset.head(5))"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dataset.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0X7SVWiSXkat",
        "outputId": "29e7dccd-827a-4f32-ee47-602457466188"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2919, 13)"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "obj = (dataset.dtypes == 'object')\n",
        "object_cols = list(obj[obj].index)\n",
        "print(\"Categorical variables:\",len(object_cols))\n",
        "\n",
        "int_ = (dataset.dtypes == 'int')\n",
        "num_cols = list(int_[int_].index)\n",
        "print(\"Integer variables:\",len(num_cols))\n",
        "\n",
        "fl = (dataset.dtypes == 'float')\n",
        "fl_cols = list(fl[fl].index)\n",
        "print(\"Float variables:\",len(fl_cols))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Spw_yn08XkdL",
        "outputId": "ebdb182a-0ac9-43d4-97c7-c467e3c2c2c1"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Categorical variables: 4\n",
            "Integer variables: 6\n",
            "Float variables: 3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "numerical_dataset = dataset.select_dtypes(include=['number'])\n",
        "\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.heatmap(numerical_dataset.corr(),\n",
        "            cmap = 'BrBG',\n",
        "            fmt = '.2f',\n",
        "            linewidths = 2,\n",
        "            annot = True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 636
        },
        "id": "b9ERqR0-XkfV",
        "outputId": "b8bee470-35f6-4e7d-eb91-3f200f683b41"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "unique_values = []\n",
        "for col in object_cols:\n",
        "  unique_values.append(dataset[col].unique().size)\n",
        "plt.figure(figsize=(10,6))\n",
        "plt.title('No. Unique values of Categorical Features')\n",
        "plt.xticks(rotation=90)\n",
        "sns.barplot(x=object_cols,y=unique_values)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 625
        },
        "id": "nuMkiDSKXkhy",
        "outputId": "516efabc-a1a7-4fae-ed02-50ae26b03d27"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: title={'center': 'No. Unique values of Categorical Features'}>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(18, 36))\n",
        "plt.title('Categorical Features Distribution')\n",
        "index = 1\n",
        "\n",
        "for col in object_cols:\n",
        "    y = dataset[col].value_counts()\n",
        "    plt.subplot(11, 4, index)\n",
        "    plt.xticks(rotation=90)\n",
        "    sns.barplot(x=y.index, y=y.values)\n",
        "    plt.xlabel(col)\n",
        "    plt.ylabel(\"Count\")\n",
        "    index += 1\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "collapsed": true,
        "id": "GvNVksyiYCL1",
        "outputId": "05922487-3807-4032-ff81-15c47fc4080e"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x3600 with 5 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dataset.drop(['Id'],\n",
        "             axis=1,\n",
        "             inplace=True)"
      ],
      "metadata": {
        "id": "MXaicJM2YCOV"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataset['SalePrice'] = dataset['SalePrice'].fillna(\n",
        "  dataset['SalePrice'].mean())"
      ],
      "metadata": {
        "id": "L1Z-Q9nSYCQ8"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_dataset = dataset.dropna()"
      ],
      "metadata": {
        "id": "CKqh7ZANYXIg"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "new_dataset.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 460
        },
        "collapsed": true,
        "id": "4XgH2gwYYXLN",
        "outputId": "3b8ef39b-7a64-4575-cece-cc4970986119"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MSSubClass      0\n",
              "MSZoning        0\n",
              "LotArea         0\n",
              "LotConfig       0\n",
              "BldgType        0\n",
              "OverallCond     0\n",
              "YearBuilt       0\n",
              "YearRemodAdd    0\n",
              "Exterior1st     0\n",
              "BsmtFinSF2      0\n",
              "TotalBsmtSF     0\n",
              "SalePrice       0\n",
              "dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>MSSubClass</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MSZoning</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LotArea</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LotConfig</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BldgType</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>OverallCond</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>YearBuilt</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>YearRemodAdd</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Exterior1st</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BsmtFinSF2</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TotalBsmtSF</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SalePrice</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import OneHotEncoder\n",
        "\n",
        "s = (new_dataset.dtypes == 'object')\n",
        "object_cols = list(s[s].index)\n",
        "print(\"Categorical variables:\")\n",
        "print(object_cols)\n",
        "print('No. of. categorical features: ',\n",
        "      len(object_cols))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9ExrTRuOYXNm",
        "outputId": "662ea666-d8d1-4e0d-c516-30f91d6ebf58"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Categorical variables:\n",
            "['MSZoning', 'LotConfig', 'BldgType', 'Exterior1st']\n",
            "No. of. categorical features:  4\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "OH_encoder = OneHotEncoder(sparse_output=False, handle_unknown='ignore')\n",
        "OH_cols = pd.DataFrame(OH_encoder.fit_transform(new_dataset[object_cols]))\n",
        "OH_cols.index = new_dataset.index\n",
        "OH_cols.columns = OH_encoder.get_feature_names_out()\n",
        "df_final = new_dataset.drop(object_cols, axis=1)\n",
        "df_final = pd.concat([df_final, OH_cols], axis=1)"
      ],
      "metadata": {
        "id": "tQ7yxAmnXkkF"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import mean_absolute_error\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X = df_final.drop(['SalePrice'], axis=1)\n",
        "Y = df_final['SalePrice']\n",
        "\n",
        "X_train, X_valid, Y_train, Y_valid = train_test_split(\n",
        "    X, Y, train_size=0.8, test_size=0.2, random_state=0)"
      ],
      "metadata": {
        "id": "mQYQ_5igYc2u"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import mean_absolute_error\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X = df_final.drop(['SalePrice'], axis=1)\n",
        "Y = df_final['SalePrice']\n",
        "\n",
        "X_train, X_valid, Y_train, Y_valid = train_test_split(\n",
        "    X, Y, train_size=0.8, test_size=0.2, random_state=0)"
      ],
      "metadata": {
        "id": "_utz2ZfAYc51"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn import svm\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.metrics import mean_absolute_percentage_error\n",
        "\n",
        "model_SVR = svm.SVR()\n",
        "model_SVR.fit(X_train,Y_train)\n",
        "Y_pred = model_SVR.predict(X_valid)\n",
        "\n",
        "print(mean_absolute_percentage_error(Y_valid, Y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AEcwIvwCYi-t",
        "outputId": "8230b175-c495-4e21-a10a-48f407d69a61"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.1870512931870423\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import RandomForestRegressor\n",
        "\n",
        "model_RFR = RandomForestRegressor(n_estimators=10)\n",
        "model_RFR.fit(X_train, Y_train)\n",
        "Y_pred = model_RFR.predict(X_valid)\n",
        "\n",
        "mean_absolute_percentage_error(Y_valid, Y_pred)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9gS7RUFkYjA9",
        "outputId": "65585fbf-549a-439d-9917-ba80051b836b"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.18602695581046166"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.linear_model import LinearRegression\n",
        "\n",
        "model_LR = LinearRegression()\n",
        "model_LR.fit(X_train, Y_train)\n",
        "Y_pred = model_LR.predict(X_valid)\n",
        "\n",
        "print(mean_absolute_percentage_error(Y_valid, Y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2bKeQiBFYjDz",
        "outputId": "efaab5ec-02a0-4c13-bd90-9358263ede5a"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.1874168384159986\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "1YgUbIVMYc8Q"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}