HOUSE PRICE PREDICTION .ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b7b7c88b",
   "metadata": {},
   "source": [
    "# Problem Statement\n",
    "- The main objective of this project is to build a model that predict the housing prices in California using the California census data.\n",
    "- This data has attribute such as the population, median income, median housing price, and so on for each block group(districts) in California.\n",
    "\n",
    "## About The Problem\n",
    "- The model’s output (a prediction of a district’s median housing price) will be fed to another Machine Learning system along with many other signals.This downstream system will determine whether it is worth investing in a given area or not. Getting this right is critical, as it directly affects revenue.\n",
    "- currently the district housing prices are estimated manually by experts: a team gathers up-to-date information about a district, and when they cannot get the median housing price, they estimate it using complex rules. This is costly and time-consuming, and their estimates are not great; in cases where they manage to find out the actual median housing price, they often realize that their estimates were off by more than 20%. This is why the company thinks that it would be useful to train a model to predict a district’s median housing price given other data about that district."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fd6bd13",
   "metadata": {},
   "source": [
    "## Importing Necessary Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c371701f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:12.941851Z",
     "start_time": "2024-02-05T10:47:52.294664Z"
    }
   },
   "outputs": [],
   "source": [
    "# for dataframe manipulation and analysis\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# for data visualization\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "\n",
    "# warning filtering library\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d114793e",
   "metadata": {},
   "source": [
    "## Loading Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9e5dc502",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:14.243068Z",
     "start_time": "2024-02-05T10:48:12.953808Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "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",
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       "    }\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>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",
       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-122.23</td>\n",
       "      <td>37.88</td>\n",
       "      <td>41.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7099.0</td>\n",
       "      <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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <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",
       "      <td>280.0</td>\n",
       "      <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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "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  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('housing.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f7afb15",
   "metadata": {},
   "source": [
    "#### About the dataset\n",
    "- Each row represents one district. \n",
    "- There are 10 attributes - longitude, latitude, housing_median_age, total_rooms, total_bedrooms, population, households, median_income, median_house_value(whose value is to be predicted) and ocean_proximity."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ead20c8",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis and Data cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b5968df",
   "metadata": {},
   "source": [
    "### Take a quick look at the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "82e6bf9b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:14.293044Z",
     "start_time": "2024-02-05T10:48:14.258059Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "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"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5436e34d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:14.762789Z",
     "start_time": "2024-02-05T10:48:14.316026Z"
    }
   },
   "outputs": [
    {
     "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"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.ocean_proximity.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "530cb1a3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:14.883703Z",
     "start_time": "2024-02-05T10:48:14.772765Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3731ce9b",
   "metadata": {},
   "source": [
    "#### Analysis\n",
    "- There are 20640 records and 10 attributes.\n",
    "- Total_bedrooms feature has missing values.\n",
    "- ocean_proximity feature is in categorical form.so that feature has to be encoded."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbe649d0",
   "metadata": {},
   "source": [
    "### Understanding numerical features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2e9aea52",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:15.086583Z",
     "start_time": "2024-02-05T10:48:14.895696Z"
    }
   },
   "outputs": [
    {
     "data": {
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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",
       "      <th>median_house_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20433.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-119.569704</td>\n",
       "      <td>35.631861</td>\n",
       "      <td>28.639486</td>\n",
       "      <td>2635.763081</td>\n",
       "      <td>537.870553</td>\n",
       "      <td>1425.476744</td>\n",
       "      <td>499.539680</td>\n",
       "      <td>3.870671</td>\n",
       "      <td>206855.816909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.003532</td>\n",
       "      <td>2.135952</td>\n",
       "      <td>12.585558</td>\n",
       "      <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>"
      ],
      "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  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fae02437",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:18.713505Z",
     "start_time": "2024-02-05T10:48:15.098579Z"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1500x1200 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(bins = 30,figsize = (15,12),edgecolor = 'black')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47c3289c",
   "metadata": {},
   "source": [
    "#### Key takeaways\n",
    "- median_house_value has been capped at 500000.\n",
    "- Many histograms are tail heavy(skewed).\n",
    "- These attributes have different scales."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb9abcd8",
   "metadata": {},
   "source": [
    "- To make model that precisely predict even beyond 500000,exclude those data points which are capped at 500000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f1a885bb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:18.741489Z",
     "start_time": "2024-02-05T10:48:18.725496Z"
    }
   },
   "outputs": [],
   "source": [
    "df = df[df['median_house_value']<500000]\n",
    "df = df.reset_index(drop = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "452a0999",
   "metadata": {},
   "source": [
    "## Create a test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "281eb2c2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:20.781335Z",
     "start_time": "2024-02-05T10:48:18.750485Z"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "train_data,test_data = train_test_split(df,test_size = 0.2,random_state = 42,shuffle = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75063466",
   "metadata": {},
   "source": [
    "# Visualizing data to gain insights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b1773cf3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:20.805308Z",
     "start_time": "2024-02-05T10:48:20.792311Z"
    }
   },
   "outputs": [],
   "source": [
    "sample_data = train_data.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a69fd2e6",
   "metadata": {},
   "source": [
    "### Visualizing geographical data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8eb0bffc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:21.991621Z",
     "start_time": "2024-02-05T10:48:20.820296Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x23d34499cd0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sample_data.plot(kind = 'scatter',x = 'longitude',y = 'latitude',alpha = 0.4,\n",
    "                s = sample_data['population']/100,c = sample_data['median_house_value'],\n",
    "                cmap = 'jet',figsize = (10,6),label = 'population')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "409f4bbb",
   "metadata": {},
   "source": [
    "- So housing price is much related to location and population."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d373c128",
   "metadata": {},
   "source": [
    "## Looking for correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b997212c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:22.039598Z",
     "start_time": "2024-02-05T10:48:22.005616Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "median_house_value    1.000000\n",
       "median_income         0.648201\n",
       "total_rooms           0.143877\n",
       "households            0.093670\n",
       "total_bedrooms        0.073196\n",
       "housing_median_age    0.064449\n",
       "population            0.012270\n",
       "longitude            -0.045004\n",
       "latitude             -0.150427\n",
       "Name: median_house_value, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_data.corr()['median_house_value'].sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97b1b4c1",
   "metadata": {},
   "source": [
    "median_income and median_house_value has strong correlation."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "094b99cd",
   "metadata": {},
   "source": [
    "## Feature engineering"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "748ed54a",
   "metadata": {},
   "source": [
    "### Experimenting with attribute combination"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "20ddbe1a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:22.140613Z",
     "start_time": "2024-02-05T10:48:22.057584Z"
    }
   },
   "outputs": [],
   "source": [
    "sample_data['rooms_per_household'] = sample_data['total_rooms']/sample_data['households']\n",
    "sample_data['bedroom_per_room'] = sample_data['total_bedrooms']/sample_data['total_rooms']\n",
    "sample_data['population_per_household'] = sample_data['population']/sample_data['households']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5596f59b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:22.413380Z",
     "start_time": "2024-02-05T10:48:22.167522Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "median_house_value          1.000000\n",
       "median_income               0.648201\n",
       "total_rooms                 0.143877\n",
       "rooms_per_household         0.110973\n",
       "households                  0.093670\n",
       "total_bedrooms              0.073196\n",
       "housing_median_age          0.064449\n",
       "population                  0.012270\n",
       "population_per_household   -0.019716\n",
       "longitude                  -0.045004\n",
       "latitude                   -0.150427\n",
       "bedroom_per_room           -0.224358\n",
       "Name: median_house_value, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_data.corr()['median_house_value'].sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ddd0789",
   "metadata": {},
   "source": [
    "so new added features are more correlated with the target variable."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14cbd5e6",
   "metadata": {},
   "source": [
    "## Summary of EDA\n",
    "- Total_bedrooms feature has missing values.\n",
    "- ocean_proximity feature is in categorical form.so that feature has to be encoded.\n",
    "- Features have different scales.\n",
    "- new combination of features can be useful.\n",
    "- Many attributes are skewed(There are chances of outliers)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4779ee10",
   "metadata": {},
   "source": [
    "## Preparing the data for Ml model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54f8d05c",
   "metadata": {},
   "source": [
    "### Data cleaning\n",
    "#### Preparation steps to do\n",
    "- Treat missing values\n",
    "- convert categorical data to continous form.\n",
    "- Feature scaling.\n",
    "- Add new combination of columns."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd05804a",
   "metadata": {},
   "source": [
    "### Adding new features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "25c57b95",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:22.613339Z",
     "start_time": "2024-02-05T10:48:22.426372Z"
    }
   },
   "outputs": [],
   "source": [
    "train_data['rooms_per_household'] = train_data['total_rooms']/train_data['households']\n",
    "train_data['bedroom_per_room'] = train_data['total_bedrooms']/train_data['total_rooms']\n",
    "train_data['population_per_household'] = train_data['population']/train_data['households']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0d8606f7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:22.817223Z",
     "start_time": "2024-02-05T10:48:22.624262Z"
    }
   },
   "outputs": [],
   "source": [
    "X_train = train_data.drop('median_house_value',axis = 1)\n",
    "y_train = train_data[['median_house_value']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "011bedd3",
   "metadata": {},
   "source": [
    "### Transformation Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "60c0f1b1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:24.499218Z",
     "start_time": "2024-02-05T10:48:22.826146Z"
    }
   },
   "outputs": [],
   "source": [
    "# Data preprocessing Libraries\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.compose import ColumnTransformer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4bac3c38",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:24.518173Z",
     "start_time": "2024-02-05T10:48:24.510176Z"
    }
   },
   "outputs": [],
   "source": [
    "num_pipeline = Pipeline([\n",
    "    ('imputer',SimpleImputer(strategy = 'median')),\n",
    "    ('std_scaler',StandardScaler()),\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b8db2954",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:24.859052Z",
     "start_time": "2024-02-05T10:48:24.534166Z"
    }
   },
   "outputs": [],
   "source": [
    "num = X_train.drop('ocean_proximity',axis = 1)\n",
    "num_attribute = list(num)\n",
    "cat_attribute = ['ocean_proximity']\n",
    "\n",
    "full_pipeline = ColumnTransformer([\n",
    "    ('num',num_pipeline,num_attribute),\n",
    "    ('cat',OneHotEncoder(),cat_attribute),    \n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "811677f0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:25.157807Z",
     "start_time": "2024-02-05T10:48:24.867992Z"
    }
   },
   "outputs": [],
   "source": [
    "X_train = full_pipeline.fit_transform(X_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ca05675",
   "metadata": {},
   "source": [
    "# Model Building"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc32570d",
   "metadata": {},
   "source": [
    "## Training and evaluating different models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b0dc6530",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:26.885888Z",
     "start_time": "2024-02-05T10:48:25.161803Z"
    }
   },
   "outputs": [],
   "source": [
    "# for model building\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.neighbors import KNeighborsRegressor\n",
    "from sklearn.svm import SVR\n",
    "from sklearn.ensemble import RandomForestRegressor,AdaBoostRegressor,GradientBoostingRegressor\n",
    "from xgboost import XGBRegressor\n",
    "import xgboost\n",
    "\n",
    "# for model evaluation\n",
    "from sklearn.metrics import mean_squared_error,r2_score\n",
    "from sklearn.model_selection import cross_val_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c336187a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:26.899807Z",
     "start_time": "2024-02-05T10:48:26.888815Z"
    }
   },
   "outputs": [],
   "source": [
    "def model_builder(model_name,estimator,x,y):\n",
    "    estimator.fit(x,y)\n",
    "    y_pred = estimator.predict(x)\n",
    "    accuracy = r2_score(y,y_pred)\n",
    "    rmse = np.sqrt(mean_squared_error(y,y_pred))\n",
    "    return [model_name,accuracy,rmse]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d965f51c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:48:27.214660Z",
     "start_time": "2024-02-05T10:48:26.904804Z"
    }
   },
   "outputs": [],
   "source": [
    "def master_model(x,y):\n",
    "    result = pd.DataFrame(columns = ['Model name','accuracy','rmse'])\n",
    "    result.loc[len(result)] = model_builder('Linear regression',LinearRegression(),x,y)   \n",
    "    result.loc[len(result)] = model_builder('Decision tree',DecisionTreeRegressor(),x,y)    \n",
    "    result.loc[len(result)] = model_builder('KNN',KNeighborsRegressor(),x,y)    \n",
    "    result.loc[len(result)] = model_builder('SVM',SVR(kernel = 'linear'),x,y)\n",
    "    result.loc[len(result)] = model_builder('Random forest',RandomForestRegressor(),x,y)\n",
    "    result.loc[len(result)] = model_builder('Adaboost',AdaBoostRegressor(),x,y)    \n",
    "    result.loc[len(result)] = model_builder('Gradient boost',GradientBoostingRegressor(),x,y)    \n",
    "    result.loc[len(result)] = model_builder('XG boost',XGBRegressor(),x,y)\n",
    "    return result.sort_values(by = 'accuracy',ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b1ee7040",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:49:48.188155Z",
     "start_time": "2024-02-05T10:48:27.217622Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "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>Model name</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>rmse</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Decision tree</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Random forest</td>\n",
       "      <td>0.970616</td>\n",
       "      <td>16611.410384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>XG boost</td>\n",
       "      <td>0.936486</td>\n",
       "      <td>24422.265614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KNN</td>\n",
       "      <td>0.791663</td>\n",
       "      <td>44231.602964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Gradient boost</td>\n",
       "      <td>0.778254</td>\n",
       "      <td>45632.852344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Linear regression</td>\n",
       "      <td>0.625714</td>\n",
       "      <td>59285.885247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Adaboost</td>\n",
       "      <td>0.446323</td>\n",
       "      <td>72107.052202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SVM</td>\n",
       "      <td>0.106604</td>\n",
       "      <td>91594.927403</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Model name  accuracy          rmse\n",
       "1      Decision tree  1.000000      0.000000\n",
       "4      Random forest  0.970616  16611.410384\n",
       "7           XG boost  0.936486  24422.265614\n",
       "2                KNN  0.791663  44231.602964\n",
       "6     Gradient boost  0.778254  45632.852344\n",
       "0  Linear regression  0.625714  59285.885247\n",
       "5           Adaboost  0.446323  72107.052202\n",
       "3                SVM  0.106604  91594.927403"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_model(X_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a1e63c8",
   "metadata": {},
   "source": [
    "## Evaluation using cross validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b0509088",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T10:49:48.224136Z",
     "start_time": "2024-02-05T10:49:48.193155Z"
    }
   },
   "outputs": [],
   "source": [
    "def Kfoldcv(x,y,fold = 10):\n",
    "    score_lr = cross_val_score(LinearRegression(),x,y,scoring = 'neg_mean_squared_error',cv = fold)\n",
    "    cv_score_lr = np.sqrt(-score_lr)\n",
    "    score_dt = cross_val_score(DecisionTreeRegressor(),x,y,scoring = 'neg_mean_squared_error',cv = fold) \n",
    "    cv_score_dt = np.sqrt(-score_dt)\n",
    "    score_knn = cross_val_score(KNeighborsRegressor(),x,y,scoring = 'neg_mean_squared_error',cv = fold)  \n",
    "    cv_score_knn = np.sqrt(-score_knn)\n",
    "    score_svr = cross_val_score(SVR(kernel = 'linear'),x,y,scoring = 'neg_mean_squared_error',cv = fold)\n",
    "    cv_score_svr = np.sqrt(-score_svr)\n",
    "    score_rf = cross_val_score(RandomForestRegressor(),x,y,scoring = 'neg_mean_squared_error',cv = fold)\n",
    "    cv_score_rf = np.sqrt(-score_rf)\n",
    "    score_ab = cross_val_score(AdaBoostRegressor(),x,y,scoring = 'neg_mean_squared_error',cv = fold) \n",
    "    cv_score_ab = np.sqrt(-score_ab)\n",
    "    score_gb = cross_val_score(GradientBoostingRegressor(),x,y,scoring = 'neg_mean_squared_error',cv = fold) \n",
    "    cv_score_gb = np.sqrt(-score_gb)\n",
    "    score_xgb = cross_val_score(XGBRegressor(),x,y,scoring = 'neg_mean_squared_error',cv = fold) \n",
    "    cv_score_xgb = np.sqrt(-score_xgb)\n",
    "    \n",
    "    model_names = ['Linear regression','Decision tree','KNN','SVM','Random forest','Adaboost',\n",
    "                  'Gradient boost','XG boost']\n",
    "    scores = [cv_score_lr,cv_score_dt,cv_score_knn,cv_score_svr,cv_score_rf,cv_score_ab,cv_score_gb,cv_score_xgb]\n",
    "    \n",
    "    result = []\n",
    "    for i in range(len(model_names)):\n",
    "        scores_mean = np.mean(scores[i])\n",
    "        scores_std = np.std(scores[i])\n",
    "        model = model_names[i]\n",
    "        result.append([model,scores_mean,scores_std])\n",
    "    \n",
    "    kfolddf = pd.DataFrame(result,columns = ['Model name','cv_mean','cv_std'])\n",
    "    return kfolddf.sort_values(by = ['cv_mean','cv_std'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "527cfbde",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T11:54:05.343900Z",
     "start_time": "2024-02-05T10:49:48.229134Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "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>Model name</th>\n",
       "      <th>cv_mean</th>\n",
       "      <th>cv_std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>XG boost</td>\n",
       "      <td>42211.278850</td>\n",
       "      <td>1677.275829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Random forest</td>\n",
       "      <td>44642.508874</td>\n",
       "      <td>1507.191930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Gradient boost</td>\n",
       "      <td>47971.440790</td>\n",
       "      <td>1632.825963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KNN</td>\n",
       "      <td>54758.332112</td>\n",
       "      <td>1626.429935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Linear regression</td>\n",
       "      <td>59505.510084</td>\n",
       "      <td>1954.926020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Decision tree</td>\n",
       "      <td>63727.973716</td>\n",
       "      <td>2106.380978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Adaboost</td>\n",
       "      <td>71166.822034</td>\n",
       "      <td>3505.942286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SVM</td>\n",
       "      <td>92202.105556</td>\n",
       "      <td>2057.926646</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Model name       cv_mean       cv_std\n",
       "7           XG boost  42211.278850  1677.275829\n",
       "4      Random forest  44642.508874  1507.191930\n",
       "6     Gradient boost  47971.440790  1632.825963\n",
       "2                KNN  54758.332112  1626.429935\n",
       "0  Linear regression  59505.510084  1954.926020\n",
       "1      Decision tree  63727.973716  2106.380978\n",
       "5           Adaboost  71166.822034  3505.942286\n",
       "3                SVM  92202.105556  2057.926646"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Kfoldcv(X_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed7d9915",
   "metadata": {},
   "source": [
    "##  Training model analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdf954ee",
   "metadata": {},
   "source": [
    "### Learning curve analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f6faf27e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T11:54:05.357893Z",
     "start_time": "2024-02-05T11:54:05.349898Z"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import learning_curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "2a06e055",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T11:54:05.526799Z",
     "start_time": "2024-02-05T11:54:05.362890Z"
    }
   },
   "outputs": [],
   "source": [
    "def learn_curve(model_name,estimator,x,y):\n",
    "    train_size,train_score,test_score = learning_curve(estimator,x,y,cv = 10,scoring = 'neg_mean_squared_error',\n",
    "                                                       shuffle = True,random_state = 5,\n",
    "                                                       train_sizes = [1,500,3000,6000,8000,10000,12000,14146])\n",
    "    train_score_mean = np.mean(np.sqrt(-train_score),axis = 1)\n",
    "    test_score_mean = np.mean(np.sqrt(-test_score),axis = 1)\n",
    "    plt.plot(train_size,train_score_mean,c = 'red')\n",
    "    plt.plot(train_size,test_score_mean,c = 'blue')\n",
    "    plt.xlabel('samples size')\n",
    "    plt.ylabel('scores')\n",
    "    plt.title('learning curve for '+ model_name)\n",
    "    plt.legend(('training score','testing score'))\n",
    "    plt.ylim(0,120000)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6c08701a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T12:28:16.387905Z",
     "start_time": "2024-02-05T11:54:05.531793Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_names = [LinearRegression(),DecisionTreeRegressor(),KNeighborsRegressor(),SVR(kernel = 'linear'),\n",
    "              RandomForestRegressor(),AdaBoostRegressor(),GradientBoostingRegressor(),XGBRegressor()]\n",
    "\n",
    "for model in model_names:\n",
    "    plt.figure(figsize = (8,5))\n",
    "    learn_curve(type(model).__name__,model,X_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9cd7dc40",
   "metadata": {},
   "source": [
    "### Conclusions(after cross validation and from learning curve).\n",
    "- Linear regression,KNN,SVR,Ada boost and Gradient boost model has high bias and low variance.They are underfitting the dataset.\n",
    "- Decision Tree is highly overfitting the dataset.\n",
    "- Random Forest and Xgboost are also overfitting the dataset. but they have low bias and performing better compared to other models(but still they have high variance).Since more training data cannot be added,regularizing this model can reduce the generalization error."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c418c695",
   "metadata": {},
   "source": [
    "- So select XG boost and Random Forest for hyperparameter tuning"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1219890e",
   "metadata": {},
   "source": [
    "## Hyperparameter Tuning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "3b5a83ae",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T15:00:45.326412Z",
     "start_time": "2024-02-05T15:00:45.319415Z"
    }
   },
   "outputs": [],
   "source": [
    "# Importing gridsearchcv \n",
    "from sklearn.model_selection import GridSearchCV"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5837e48c",
   "metadata": {},
   "source": [
    "### Fine tuning XGboost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "5ca720f8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T13:57:33.912426Z",
     "start_time": "2024-02-05T12:28:16.407874Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=10,\n",
       "             estimator=XGBRegressor(base_score=None, booster=None,\n",
       "                                    callbacks=None, colsample_bylevel=None,\n",
       "                                    colsample_bynode=None,\n",
       "                                    colsample_bytree=None,\n",
       "                                    early_stopping_rounds=None,\n",
       "                                    enable_categorical=False, eval_metric=None,\n",
       "                                    feature_types=None, gamma=None, gpu_id=None,\n",
       "                                    grow_policy=None, importance_type=None,\n",
       "                                    interaction_constraints=None,\n",
       "                                    learning_rate=None,...\n",
       "                                    max_cat_to_onehot=None, max_delta_step=None,\n",
       "                                    max_depth=None, max_leaves=None,\n",
       "                                    min_child_weight=None, missing=nan,\n",
       "                                    monotone_constraints=None, n_estimators=100,\n",
       "                                    n_jobs=None, num_parallel_tree=None,\n",
       "                                    predictor=None, random_state=None, ...),\n",
       "             param_grid={'eta': [0.1, 0.13, 0.15], 'max_depth': [3, 5, 7],\n",
       "                         'n_estimators': [300, 400, 500, 600]},\n",
       "             return_train_score=True, scoring='neg_mean_squared_error')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# parameter grid\n",
    "param_xgb = {'n_estimators' : [300,400,500,600],'max_depth' : [3,5,7],'eta' : [0.1,0.13,0.15]}\n",
    "\n",
    "# creating model object   \n",
    "grid_xgb = GridSearchCV(XGBRegressor(),param_xgb,cv = 10,scoring = 'neg_mean_squared_error',\n",
    "                              return_train_score = True)\n",
    "\n",
    "# model fitting\n",
    "grid_xgb.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "2ad9e410",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T13:57:33.938411Z",
     "start_time": "2024-02-05T13:57:33.927417Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'eta': 0.1, 'max_depth': 7, 'n_estimators': 600}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_xgb.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "526618b3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T13:57:34.099319Z",
     "start_time": "2024-02-05T13:57:33.943409Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "43949.984829508736 {'eta': 0.1, 'max_depth': 3, 'n_estimators': 300}\n",
      "43414.58781774637 {'eta': 0.1, 'max_depth': 3, 'n_estimators': 400}\n",
      "43089.754391336435 {'eta': 0.1, 'max_depth': 3, 'n_estimators': 500}\n",
      "42849.34324653852 {'eta': 0.1, 'max_depth': 3, 'n_estimators': 600}\n",
      "41432.058580879406 {'eta': 0.1, 'max_depth': 5, 'n_estimators': 300}\n",
      "41157.90084028737 {'eta': 0.1, 'max_depth': 5, 'n_estimators': 400}\n",
      "41008.483116581105 {'eta': 0.1, 'max_depth': 5, 'n_estimators': 500}\n",
      "40925.64791287793 {'eta': 0.1, 'max_depth': 5, 'n_estimators': 600}\n",
      "40904.05472725111 {'eta': 0.1, 'max_depth': 7, 'n_estimators': 300}\n",
      "40776.29974632351 {'eta': 0.1, 'max_depth': 7, 'n_estimators': 400}\n",
      "40702.253831182104 {'eta': 0.1, 'max_depth': 7, 'n_estimators': 500}\n",
      "40661.90372237197 {'eta': 0.1, 'max_depth': 7, 'n_estimators': 600}\n",
      "43408.40088822845 {'eta': 0.13, 'max_depth': 3, 'n_estimators': 300}\n",
      "43055.116131252966 {'eta': 0.13, 'max_depth': 3, 'n_estimators': 400}\n",
      "42846.616963849105 {'eta': 0.13, 'max_depth': 3, 'n_estimators': 500}\n",
      "42681.02401460362 {'eta': 0.13, 'max_depth': 3, 'n_estimators': 600}\n",
      "41165.42693682618 {'eta': 0.13, 'max_depth': 5, 'n_estimators': 300}\n",
      "40988.356014972946 {'eta': 0.13, 'max_depth': 5, 'n_estimators': 400}\n",
      "40881.555405187435 {'eta': 0.13, 'max_depth': 5, 'n_estimators': 500}\n",
      "40822.21513596829 {'eta': 0.13, 'max_depth': 5, 'n_estimators': 600}\n",
      "40836.303706552026 {'eta': 0.13, 'max_depth': 7, 'n_estimators': 300}\n",
      "40772.577295004055 {'eta': 0.13, 'max_depth': 7, 'n_estimators': 400}\n",
      "40727.977437187714 {'eta': 0.13, 'max_depth': 7, 'n_estimators': 500}\n",
      "40712.68554615547 {'eta': 0.13, 'max_depth': 7, 'n_estimators': 600}\n",
      "43241.5452013177 {'eta': 0.15, 'max_depth': 3, 'n_estimators': 300}\n",
      "42861.147156354134 {'eta': 0.15, 'max_depth': 3, 'n_estimators': 400}\n",
      "42709.64359896654 {'eta': 0.15, 'max_depth': 3, 'n_estimators': 500}\n",
      "42612.05163287666 {'eta': 0.15, 'max_depth': 3, 'n_estimators': 600}\n",
      "41224.932116536984 {'eta': 0.15, 'max_depth': 5, 'n_estimators': 300}\n",
      "41060.2001769058 {'eta': 0.15, 'max_depth': 5, 'n_estimators': 400}\n",
      "41027.51741690129 {'eta': 0.15, 'max_depth': 5, 'n_estimators': 500}\n",
      "41004.827341052056 {'eta': 0.15, 'max_depth': 5, 'n_estimators': 600}\n",
      "40817.84273290839 {'eta': 0.15, 'max_depth': 7, 'n_estimators': 300}\n",
      "40772.0052442612 {'eta': 0.15, 'max_depth': 7, 'n_estimators': 400}\n",
      "40772.65465753568 {'eta': 0.15, 'max_depth': 7, 'n_estimators': 500}\n",
      "40761.91749033328 {'eta': 0.15, 'max_depth': 7, 'n_estimators': 600}\n"
     ]
    }
   ],
   "source": [
    "xgb_cv = grid_xgb.cv_results_\n",
    "for mean_score,param in zip(xgb_cv['mean_test_score'],xgb_cv['params']):\n",
    "    print(np.sqrt(-mean_score),param)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "765b1f87",
   "metadata": {},
   "source": [
    "### Fine tuning Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b0c97efb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T14:41:45.426350Z",
     "start_time": "2024-02-05T13:57:34.103319Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=10, estimator=RandomForestRegressor(),\n",
       "             param_grid={'max_features': [8, 10, 12],\n",
       "                         'n_estimators': [100, 150, 200, 250]},\n",
       "             return_train_score=True, scoring='neg_mean_squared_error')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# parameter grid\n",
    "param_rfr = {'max_features' : [8,10,12],'n_estimators' : [100,150,200,250]}\n",
    "\n",
    "# creating model object \n",
    "grid_rfr = GridSearchCV(RandomForestRegressor(),param_rfr,cv = 10,scoring = 'neg_mean_squared_error',\n",
    "                              return_train_score = True)\n",
    "# model fitting\n",
    "grid_rfr.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "02eb617f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T14:41:45.441326Z",
     "start_time": "2024-02-05T14:41:45.431328Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'max_features': 8, 'n_estimators': 250}"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid_rfr.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "cfb368f4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T14:41:45.655219Z",
     "start_time": "2024-02-05T14:41:45.447320Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "43911.01305429988 {'max_features': 8, 'n_estimators': 100}\n",
      "43752.481337572244 {'max_features': 8, 'n_estimators': 150}\n",
      "43784.268383253155 {'max_features': 8, 'n_estimators': 200}\n",
      "43746.06211140209 {'max_features': 8, 'n_estimators': 250}\n",
      "44075.941168366735 {'max_features': 10, 'n_estimators': 100}\n",
      "44013.821643098745 {'max_features': 10, 'n_estimators': 150}\n",
      "43872.46456092787 {'max_features': 10, 'n_estimators': 200}\n",
      "43904.42299488468 {'max_features': 10, 'n_estimators': 250}\n",
      "44334.34728435339 {'max_features': 12, 'n_estimators': 100}\n",
      "44183.057204404504 {'max_features': 12, 'n_estimators': 150}\n",
      "44135.55193503445 {'max_features': 12, 'n_estimators': 200}\n",
      "44110.026226724076 {'max_features': 12, 'n_estimators': 250}\n"
     ]
    }
   ],
   "source": [
    "rfr_cv = grid_rfr.cv_results_\n",
    "for mean_score,param in zip(rfr_cv['mean_test_score'],rfr_cv['params']):\n",
    "    print(np.sqrt(-mean_score),param)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd68a602",
   "metadata": {},
   "source": [
    "- After hyperparameter tuning XG boost is generalizing better compared to random forest, so let's finalize Xgboost."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ae75fd3f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T14:41:45.902057Z",
     "start_time": "2024-02-05T14:41:45.672189Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['predictor.pkl']"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import joblib\n",
    "joblib.dump(grid_xgb.best_estimator_,'predictor.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "24367cb0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T14:41:46.042980Z",
     "start_time": "2024-02-05T14:41:45.908054Z"
    }
   },
   "outputs": [],
   "source": [
    "model = joblib.load('predictor.pkl')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cff3362",
   "metadata": {},
   "source": [
    "## Testing on test set"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47f2d3b7",
   "metadata": {},
   "source": [
    "### Transforming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "34011479",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T14:41:46.172904Z",
     "start_time": "2024-02-05T14:41:46.071961Z"
    }
   },
   "outputs": [],
   "source": [
    "test_data['rooms_per_household'] = test_data['total_rooms']/test_data['households']\n",
    "test_data['bedroom_per_room'] = test_data['total_bedrooms']/test_data['total_rooms']\n",
    "test_data['population_per_household'] = test_data['population']/test_data['households']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7b858568",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T14:41:46.301904Z",
     "start_time": "2024-02-05T14:41:46.175901Z"
    }
   },
   "outputs": [],
   "source": [
    "x_test = test_data.drop('median_house_value',axis = 1)\n",
    "y_test = test_data['median_house_value'].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "2f694f6e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T14:41:46.553759Z",
     "start_time": "2024-02-05T14:41:46.304831Z"
    }
   },
   "outputs": [],
   "source": [
    "# transform x_test\n",
    "x_test = full_pipeline.transform(x_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1b459cc",
   "metadata": {},
   "source": [
    "### Model prediction on test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "387a12b4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T14:41:46.840519Z",
     "start_time": "2024-02-05T14:41:46.556686Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "41694.25808210904"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred_test = model.predict(x_test)\n",
    "np.sqrt(mean_squared_error(y_test,y_pred_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "7361fcbf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-05T14:41:46.874500Z",
     "start_time": "2024-02-05T14:41:46.846516Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8186751841303828"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2_score(y_test,y_pred_test)"
   ]
  }
 ],
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