notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Machine Learning Course 1\n",
    "\n",
    "by OrcaTech"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Jupter Notebook\n",
    "\n",
    "The current environment is called a notebook and allows us to run our code in cells so that we can change individual parts of our data analysis while storing the previous values.\n",
    "\n",
    "Common Shortcuts:\n",
    "- a\n",
    "    - insert cell above\n",
    "- b\n",
    "    - insert call below\n",
    "- dd\n",
    "    - deleted cell\n",
    "- m\n",
    "    - change to markdown\n",
    "- y\n",
    "    - change to code\n",
    "- crtl+enter\n",
    "    - run cell\n",
    "- shift+enter\n",
    "    - run cell and go to next cell"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Libraries\n",
    "\n",
    "To keep our notebook neat, all the required libraries are usually imported at the start."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import sklearn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Problem Formulation\n",
    "\n",
    "Machine learning or data analysis always tries to solve for a problem. This can usually be a classification problem such as object detection or a regression problem like predicting the price of stocks on the stock market.\n",
    "\n",
    "In this course we take a simplified view of a real estate regression problem where we predict the price of a house. First we must analyse houses that were already sold and see how this relates to variables such as the date it was sold, its age, distance to the MRT, nearby convenience stores and location."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the dataset\n",
    "\n",
    "Many times the data will be given as CSV files (or any other format) and should be loaded into your environment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"RealEstate.csv\", index_col=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data exploration\n",
    "\n",
    "There are many ways to explore the data to see what we are dealing with."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X1 transaction date</th>\n",
       "      <th>X2 house age</th>\n",
       "      <th>X3 distance to the nearest MRT station</th>\n",
       "      <th>X4 number of convenience stores</th>\n",
       "      <th>X5 latitude</th>\n",
       "      <th>X6 longitude</th>\n",
       "      <th>Y house price of unit area</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012.917</td>\n",
       "      <td>32.0</td>\n",
       "      <td>84.87882</td>\n",
       "      <td>10</td>\n",
       "      <td>24.98298</td>\n",
       "      <td>121.54024</td>\n",
       "      <td>37.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012.917</td>\n",
       "      <td>19.5</td>\n",
       "      <td>306.59470</td>\n",
       "      <td>9</td>\n",
       "      <td>24.98034</td>\n",
       "      <td>121.53951</td>\n",
       "      <td>42.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013.583</td>\n",
       "      <td>13.3</td>\n",
       "      <td>561.98450</td>\n",
       "      <td>5</td>\n",
       "      <td>24.98746</td>\n",
       "      <td>121.54391</td>\n",
       "      <td>47.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013.500</td>\n",
       "      <td>13.3</td>\n",
       "      <td>561.98450</td>\n",
       "      <td>5</td>\n",
       "      <td>24.98746</td>\n",
       "      <td>121.54391</td>\n",
       "      <td>54.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2012.833</td>\n",
       "      <td>5.0</td>\n",
       "      <td>390.56840</td>\n",
       "      <td>5</td>\n",
       "      <td>24.97937</td>\n",
       "      <td>121.54245</td>\n",
       "      <td>43.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    X1 transaction date  X2 house age  X3 distance to the nearest MRT station  \\\n",
       "No                                                                              \n",
       "1              2012.917          32.0                                84.87882   \n",
       "2              2012.917          19.5                               306.59470   \n",
       "3              2013.583          13.3                               561.98450   \n",
       "4              2013.500          13.3                               561.98450   \n",
       "5              2012.833           5.0                               390.56840   \n",
       "\n",
       "    X4 number of convenience stores  X5 latitude  X6 longitude  \\\n",
       "No                                                               \n",
       "1                                10     24.98298     121.54024   \n",
       "2                                 9     24.98034     121.53951   \n",
       "3                                 5     24.98746     121.54391   \n",
       "4                                 5     24.98746     121.54391   \n",
       "5                                 5     24.97937     121.54245   \n",
       "\n",
       "    Y house price of unit area  \n",
       "No                              \n",
       "1                         37.9  \n",
       "2                         42.2  \n",
       "3                         47.3  \n",
       "4                         54.8  \n",
       "5                         43.1  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show the first few rows only for easy viewing\n",
    "df.head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X1 transaction date</th>\n",
       "      <th>X2 house age</th>\n",
       "      <th>X3 distance to the nearest MRT station</th>\n",
       "      <th>X4 number of convenience stores</th>\n",
       "      <th>X5 latitude</th>\n",
       "      <th>X6 longitude</th>\n",
       "      <th>Y house price of unit area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>414.000000</td>\n",
       "      <td>414.000000</td>\n",
       "      <td>414.000000</td>\n",
       "      <td>414.000000</td>\n",
       "      <td>414.000000</td>\n",
       "      <td>414.000000</td>\n",
       "      <td>414.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2013.148971</td>\n",
       "      <td>17.712560</td>\n",
       "      <td>1083.885689</td>\n",
       "      <td>4.094203</td>\n",
       "      <td>24.969030</td>\n",
       "      <td>121.533361</td>\n",
       "      <td>37.980193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.281967</td>\n",
       "      <td>11.392485</td>\n",
       "      <td>1262.109595</td>\n",
       "      <td>2.945562</td>\n",
       "      <td>0.012410</td>\n",
       "      <td>0.015347</td>\n",
       "      <td>13.606488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2012.667000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>23.382840</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>24.932070</td>\n",
       "      <td>121.473530</td>\n",
       "      <td>7.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2012.917000</td>\n",
       "      <td>9.025000</td>\n",
       "      <td>289.324800</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>24.963000</td>\n",
       "      <td>121.528085</td>\n",
       "      <td>27.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2013.167000</td>\n",
       "      <td>16.100000</td>\n",
       "      <td>492.231300</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>24.971100</td>\n",
       "      <td>121.538630</td>\n",
       "      <td>38.450000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2013.417000</td>\n",
       "      <td>28.150000</td>\n",
       "      <td>1454.279000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>24.977455</td>\n",
       "      <td>121.543305</td>\n",
       "      <td>46.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2013.583000</td>\n",
       "      <td>43.800000</td>\n",
       "      <td>6488.021000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>25.014590</td>\n",
       "      <td>121.566270</td>\n",
       "      <td>117.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       X1 transaction date  X2 house age  \\\n",
       "count           414.000000    414.000000   \n",
       "mean           2013.148971     17.712560   \n",
       "std               0.281967     11.392485   \n",
       "min            2012.667000      0.000000   \n",
       "25%            2012.917000      9.025000   \n",
       "50%            2013.167000     16.100000   \n",
       "75%            2013.417000     28.150000   \n",
       "max            2013.583000     43.800000   \n",
       "\n",
       "       X3 distance to the nearest MRT station  \\\n",
       "count                              414.000000   \n",
       "mean                              1083.885689   \n",
       "std                               1262.109595   \n",
       "min                                 23.382840   \n",
       "25%                                289.324800   \n",
       "50%                                492.231300   \n",
       "75%                               1454.279000   \n",
       "max                               6488.021000   \n",
       "\n",
       "       X4 number of convenience stores  X5 latitude  X6 longitude  \\\n",
       "count                       414.000000   414.000000    414.000000   \n",
       "mean                          4.094203    24.969030    121.533361   \n",
       "std                           2.945562     0.012410      0.015347   \n",
       "min                           0.000000    24.932070    121.473530   \n",
       "25%                           1.000000    24.963000    121.528085   \n",
       "50%                           4.000000    24.971100    121.538630   \n",
       "75%                           6.000000    24.977455    121.543305   \n",
       "max                          10.000000    25.014590    121.566270   \n",
       "\n",
       "       Y house price of unit area  \n",
       "count                  414.000000  \n",
       "mean                    37.980193  \n",
       "std                     13.606488  \n",
       "min                      7.600000  \n",
       "25%                     27.700000  \n",
       "50%                     38.450000  \n",
       "75%                     46.600000  \n",
       "max                    117.500000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get an idea of our data\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X1 transaction date</th>\n",
       "      <th>X2 house age</th>\n",
       "      <th>X3 distance to the nearest MRT station</th>\n",
       "      <th>X4 number of convenience stores</th>\n",
       "      <th>X5 latitude</th>\n",
       "      <th>X6 longitude</th>\n",
       "      <th>Y house price of unit area</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>2013.0</td>\n",
       "      <td>11.6</td>\n",
       "      <td>390.5684</td>\n",
       "      <td>5</td>\n",
       "      <td>24.97937</td>\n",
       "      <td>121.54245</td>\n",
       "      <td>39.4</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "     X1 transaction date  X2 house age  \\\n",
       "No                                       \n",
       "159               2013.0          11.6   \n",
       "\n",
       "     X3 distance to the nearest MRT station  X4 number of convenience stores  \\\n",
       "No                                                                             \n",
       "159                                390.5684                                5   \n",
       "\n",
       "     X5 latitude  X6 longitude  Y house price of unit area  \n",
       "No                                                          \n",
       "159     24.97937     121.54245                        39.4  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get a random sample\n",
    "df.sample()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Manipulation\n",
    "\n",
    "A big part of machine learning is exploring the data and manipulating it into a form that makes sense for the model to use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No\n",
       "1    37.9\n",
       "2    42.2\n",
       "3    47.3\n",
       "4    54.8\n",
       "5    43.1\n",
       "Name: Y house price of unit area, dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use ['column name'] to get this series\n",
    "df['Y house price of unit area'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X2 house age</th>\n",
       "      <th>Y house price of unit area</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>32.0</td>\n",
       "      <td>37.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19.5</td>\n",
       "      <td>42.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13.3</td>\n",
       "      <td>47.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13.3</td>\n",
       "      <td>54.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>43.1</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "    X2 house age  Y house price of unit area\n",
       "No                                          \n",
       "1           32.0                        37.9\n",
       "2           19.5                        42.2\n",
       "3           13.3                        47.3\n",
       "4           13.3                        54.8\n",
       "5            5.0                        43.1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can also get a few columns\n",
    "df[['X2 house age','Y house price of unit area']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "      <th>X3 distance to the nearest MRT station</th>\n",
       "      <th>X4 number of convenience stores</th>\n",
       "      <th>X5 latitude</th>\n",
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       "      <th>Y house price of unit area</th>\n",
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       "    <tr>\n",
       "      <th>No</th>\n",
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       "      <th>17</th>\n",
       "      <td>2013.250</td>\n",
       "      <td>0.0</td>\n",
       "      <td>292.9978</td>\n",
       "      <td>6</td>\n",
       "      <td>24.97744</td>\n",
       "      <td>121.54458</td>\n",
       "      <td>70.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2012.833</td>\n",
       "      <td>0.0</td>\n",
       "      <td>292.9978</td>\n",
       "      <td>6</td>\n",
       "      <td>24.97744</td>\n",
       "      <td>121.54458</td>\n",
       "      <td>71.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2013.417</td>\n",
       "      <td>0.0</td>\n",
       "      <td>292.9978</td>\n",
       "      <td>6</td>\n",
       "      <td>24.97744</td>\n",
       "      <td>121.54458</td>\n",
       "      <td>73.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>2013.333</td>\n",
       "      <td>37.2</td>\n",
       "      <td>186.5101</td>\n",
       "      <td>9</td>\n",
       "      <td>24.97703</td>\n",
       "      <td>121.54265</td>\n",
       "      <td>78.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>2013.333</td>\n",
       "      <td>10.8</td>\n",
       "      <td>252.5822</td>\n",
       "      <td>1</td>\n",
       "      <td>24.97460</td>\n",
       "      <td>121.53046</td>\n",
       "      <td>117.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>2013.583</td>\n",
       "      <td>35.4</td>\n",
       "      <td>318.5292</td>\n",
       "      <td>9</td>\n",
       "      <td>24.97071</td>\n",
       "      <td>121.54069</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     X1 transaction date  X2 house age  \\\n",
       "No                                       \n",
       "17              2013.250           0.0   \n",
       "106             2012.833           0.0   \n",
       "167             2013.417           0.0   \n",
       "221             2013.333          37.2   \n",
       "271             2013.333          10.8   \n",
       "313             2013.583          35.4   \n",
       "\n",
       "     X3 distance to the nearest MRT station  X4 number of convenience stores  \\\n",
       "No                                                                             \n",
       "17                                 292.9978                                6   \n",
       "106                                292.9978                                6   \n",
       "167                                292.9978                                6   \n",
       "221                                186.5101                                9   \n",
       "271                                252.5822                                1   \n",
       "313                                318.5292                                9   \n",
       "\n",
       "     X5 latitude  X6 longitude  Y house price of unit area  \n",
       "No                                                          \n",
       "17      24.97744     121.54458                        70.1  \n",
       "106     24.97744     121.54458                        71.0  \n",
       "167     24.97744     121.54458                        73.6  \n",
       "221     24.97703     121.54265                        78.3  \n",
       "271     24.97460     121.53046                       117.5  \n",
       "313     24.97071     121.54069                        78.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can filter rows using this method as well\n",
    "df[df['Y house price of unit area'] > 70]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No\n",
       "1    False\n",
       "2    False\n",
       "3     True\n",
       "4     True\n",
       "5    False\n",
       "Name: Y house price of unit area, dtype: bool"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The filter used actually helped us to create a mask\n",
    "(df['Y house price of unit area'] > 45).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>X1 transaction date</th>\n",
       "      <th>X2 house age</th>\n",
       "      <th>X3 distance to the nearest MRT station</th>\n",
       "      <th>X4 number of convenience stores</th>\n",
       "      <th>X5 latitude</th>\n",
       "      <th>X6 longitude</th>\n",
       "      <th>Y house price of unit area</th>\n",
       "      <th>X7 transaction year</th>\n",
       "      <th>X8 transaction month</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012.917</td>\n",
       "      <td>32.0</td>\n",
       "      <td>84.87882</td>\n",
       "      <td>10</td>\n",
       "      <td>24.98298</td>\n",
       "      <td>121.54024</td>\n",
       "      <td>37.9</td>\n",
       "      <td>2012</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012.917</td>\n",
       "      <td>19.5</td>\n",
       "      <td>306.59470</td>\n",
       "      <td>9</td>\n",
       "      <td>24.98034</td>\n",
       "      <td>121.53951</td>\n",
       "      <td>42.2</td>\n",
       "      <td>2012</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013.583</td>\n",
       "      <td>13.3</td>\n",
       "      <td>561.98450</td>\n",
       "      <td>5</td>\n",
       "      <td>24.98746</td>\n",
       "      <td>121.54391</td>\n",
       "      <td>47.3</td>\n",
       "      <td>2013</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013.500</td>\n",
       "      <td>13.3</td>\n",
       "      <td>561.98450</td>\n",
       "      <td>5</td>\n",
       "      <td>24.98746</td>\n",
       "      <td>121.54391</td>\n",
       "      <td>54.8</td>\n",
       "      <td>2013</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2012.833</td>\n",
       "      <td>5.0</td>\n",
       "      <td>390.56840</td>\n",
       "      <td>5</td>\n",
       "      <td>24.97937</td>\n",
       "      <td>121.54245</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2012</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    X1 transaction date  X2 house age  X3 distance to the nearest MRT station  \\\n",
       "No                                                                              \n",
       "1              2012.917          32.0                                84.87882   \n",
       "2              2012.917          19.5                               306.59470   \n",
       "3              2013.583          13.3                               561.98450   \n",
       "4              2013.500          13.3                               561.98450   \n",
       "5              2012.833           5.0                               390.56840   \n",
       "\n",
       "    X4 number of convenience stores  X5 latitude  X6 longitude  \\\n",
       "No                                                               \n",
       "1                                10     24.98298     121.54024   \n",
       "2                                 9     24.98034     121.53951   \n",
       "3                                 5     24.98746     121.54391   \n",
       "4                                 5     24.98746     121.54391   \n",
       "5                                 5     24.97937     121.54245   \n",
       "\n",
       "    Y house price of unit area  X7 transaction year  X8 transaction month  \n",
       "No                                                                         \n",
       "1                         37.9                 2012                    11  \n",
       "2                         42.2                 2012                    11  \n",
       "3                         47.3                 2013                     7  \n",
       "4                         54.8                 2013                     6  \n",
       "5                         43.1                 2012                    10  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pandas uses vectoriztion to manipulate data on series (or the whole column) instead of looping through rows\n",
    "\n",
    "# Get the year by converting to integer\n",
    "df['X7 transaction year'] = df['X1 transaction date'].astype(int)\n",
    "\n",
    "# Here we try to get the month of each transaction from the date which seems to be in a weird form of years.\n",
    "df['X8 transaction month'] = ((df['X1 transaction date'] - df['X7 transaction year']) * 12).round(0).astype(int)\n",
    "\n",
    "\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Always check that the data\n",
    "sorted(df['X8 transaction month'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Realising that the months are not in the format we are used to we can add 1 to make it easier to understand\n",
    "df['X8 transaction month'] = df['X8 transaction month'] + 1\n",
    "sorted(df['X8 transaction month'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "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>X1 transaction date</th>\n",
       "      <th>X2 house age</th>\n",
       "      <th>X3 distance to the nearest MRT station</th>\n",
       "      <th>X4 number of convenience stores</th>\n",
       "      <th>X5 latitude</th>\n",
       "      <th>X6 longitude</th>\n",
       "      <th>Y house price of unit area</th>\n",
       "      <th>X8 transaction month</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>X7 transaction year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>2012.801024</td>\n",
       "      <td>16.866667</td>\n",
       "      <td>1052.404169</td>\n",
       "      <td>4.119048</td>\n",
       "      <td>24.968878</td>\n",
       "      <td>121.533056</td>\n",
       "      <td>36.304762</td>\n",
       "      <td>10.611111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>2013.301198</td>\n",
       "      <td>18.082639</td>\n",
       "      <td>1097.658854</td>\n",
       "      <td>4.083333</td>\n",
       "      <td>24.969097</td>\n",
       "      <td>121.533495</td>\n",
       "      <td>38.713194</td>\n",
       "      <td>4.614583</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     X1 transaction date  X2 house age  \\\n",
       "X7 transaction year                                      \n",
       "2012                         2012.801024     16.866667   \n",
       "2013                         2013.301198     18.082639   \n",
       "\n",
       "                     X3 distance to the nearest MRT station  \\\n",
       "X7 transaction year                                           \n",
       "2012                                            1052.404169   \n",
       "2013                                            1097.658854   \n",
       "\n",
       "                     X4 number of convenience stores  X5 latitude  \\\n",
       "X7 transaction year                                                 \n",
       "2012                                        4.119048    24.968878   \n",
       "2013                                        4.083333    24.969097   \n",
       "\n",
       "                     X6 longitude  Y house price of unit area  \\\n",
       "X7 transaction year                                             \n",
       "2012                   121.533056                   36.304762   \n",
       "2013                   121.533495                   38.713194   \n",
       "\n",
       "                     X8 transaction month  \n",
       "X7 transaction year                        \n",
       "2012                            10.611111  \n",
       "2013                             4.614583  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# There are many built in functions we can use like groupby, sum, mean, max, min\n",
    "df.groupby(['X7 transaction year']).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>X1 transaction date</th>\n",
       "      <th>X2 house age</th>\n",
       "      <th>X3 distance to the nearest MRT station</th>\n",
       "      <th>X4 number of convenience stores</th>\n",
       "      <th>X5 latitude</th>\n",
       "      <th>X6 longitude</th>\n",
       "      <th>Y house price of unit area</th>\n",
       "      <th>X8 transaction month</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>X7 transaction year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>2012.917</td>\n",
       "      <td>40.9</td>\n",
       "      <td>6306.153</td>\n",
       "      <td>10</td>\n",
       "      <td>24.99176</td>\n",
       "      <td>121.56627</td>\n",
       "      <td>71.0</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>2013.583</td>\n",
       "      <td>43.8</td>\n",
       "      <td>6488.021</td>\n",
       "      <td>10</td>\n",
       "      <td>25.01459</td>\n",
       "      <td>121.56627</td>\n",
       "      <td>117.5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     X1 transaction date  X2 house age  \\\n",
       "X7 transaction year                                      \n",
       "2012                            2012.917          40.9   \n",
       "2013                            2013.583          43.8   \n",
       "\n",
       "                     X3 distance to the nearest MRT station  \\\n",
       "X7 transaction year                                           \n",
       "2012                                               6306.153   \n",
       "2013                                               6488.021   \n",
       "\n",
       "                     X4 number of convenience stores  X5 latitude  \\\n",
       "X7 transaction year                                                 \n",
       "2012                                              10     24.99176   \n",
       "2013                                              10     25.01459   \n",
       "\n",
       "                     X6 longitude  Y house price of unit area  \\\n",
       "X7 transaction year                                             \n",
       "2012                    121.56627                        71.0   \n",
       "2013                    121.56627                       117.5   \n",
       "\n",
       "                     X8 transaction month  \n",
       "X7 transaction year                        \n",
       "2012                                   12  \n",
       "2013                                    8  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['X7 transaction year']).max()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Visualization\n",
    "\n",
    "We can use matplotlib or built-in pandas functions to build graphs to visualize our data for patterns. Another common library used is seaborn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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89Yjz9KL7q2I/8AjwJWb/v236tvMk9wBfAK5MciLJLmAvsD3JMWB7t92cRc7t74CXAYe6Xvn7Xo7lrfSS1CZn4JLUKAtckhplgUtSoyxwSWqUBS5JjbLAJalRFrgkNer/AE1/fSKewcyQAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histogram\n",
    "plt.hist(df['X8 transaction month'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 81 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Scatter matrix\n",
    "pd.plotting.scatter_matrix(df, figsize=(15, 15))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Removing columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "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>X1 transaction date</th>\n",
       "      <th>X2 house age</th>\n",
       "      <th>X3 distance to the nearest MRT station</th>\n",
       "      <th>X4 number of convenience stores</th>\n",
       "      <th>X5 latitude</th>\n",
       "      <th>X6 longitude</th>\n",
       "      <th>Y house price of unit area</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012.917</td>\n",
       "      <td>32.0</td>\n",
       "      <td>84.87882</td>\n",
       "      <td>10</td>\n",
       "      <td>24.98298</td>\n",
       "      <td>121.54024</td>\n",
       "      <td>37.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012.917</td>\n",
       "      <td>19.5</td>\n",
       "      <td>306.59470</td>\n",
       "      <td>9</td>\n",
       "      <td>24.98034</td>\n",
       "      <td>121.53951</td>\n",
       "      <td>42.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013.583</td>\n",
       "      <td>13.3</td>\n",
       "      <td>561.98450</td>\n",
       "      <td>5</td>\n",
       "      <td>24.98746</td>\n",
       "      <td>121.54391</td>\n",
       "      <td>47.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013.500</td>\n",
       "      <td>13.3</td>\n",
       "      <td>561.98450</td>\n",
       "      <td>5</td>\n",
       "      <td>24.98746</td>\n",
       "      <td>121.54391</td>\n",
       "      <td>54.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2012.833</td>\n",
       "      <td>5.0</td>\n",
       "      <td>390.56840</td>\n",
       "      <td>5</td>\n",
       "      <td>24.97937</td>\n",
       "      <td>121.54245</td>\n",
       "      <td>43.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    X1 transaction date  X2 house age  X3 distance to the nearest MRT station  \\\n",
       "No                                                                              \n",
       "1              2012.917          32.0                                84.87882   \n",
       "2              2012.917          19.5                               306.59470   \n",
       "3              2013.583          13.3                               561.98450   \n",
       "4              2013.500          13.3                               561.98450   \n",
       "5              2012.833           5.0                               390.56840   \n",
       "\n",
       "    X4 number of convenience stores  X5 latitude  X6 longitude  \\\n",
       "No                                                               \n",
       "1                                10     24.98298     121.54024   \n",
       "2                                 9     24.98034     121.53951   \n",
       "3                                 5     24.98746     121.54391   \n",
       "4                                 5     24.98746     121.54391   \n",
       "5                                 5     24.97937     121.54245   \n",
       "\n",
       "    Y house price of unit area  \n",
       "No                              \n",
       "1                         37.9  \n",
       "2                         42.2  \n",
       "3                         47.3  \n",
       "4                         54.8  \n",
       "5                         43.1  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can easily remove the added columns with del\n",
    "del df['X7 transaction year']\n",
    "del df['X8 transaction month']\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Split to Dependent and Independent Variables\n",
    "\n",
    "For a typical problem in Machine Learning, we will have something we need to predict given a set of other values. The something we want to predict is called a dependent variable, while the set of values given are the independent variables. In this case, Y house price of unit area is the dependent variable. Others are regarded as independent ones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['X1 transaction date', 'X2 house age',\n",
       "       'X3 distance to the nearest MRT station',\n",
       "       'X4 number of convenience stores', 'X5 latitude', 'X6 longitude',\n",
       "       'Y house price of unit area'], dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let us list the column names, so that we can easily select the dependent and independent variables\n",
    "df.columns.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Stores the label for the independent variable\n",
    "y_label = ['Y house price of unit area']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Stores the labels for the 'other' dependent variables\n",
    "x_labels = ['X1 transaction date', 'X2 house age',\n",
    "       'X3 distance to the nearest MRT station',\n",
    "       'X4 number of convenience stores', 'X5 latitude', 'X6 longitude']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "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>X1 transaction date</th>\n",
       "      <th>X2 house age</th>\n",
       "      <th>X3 distance to the nearest MRT station</th>\n",
       "      <th>X4 number of convenience stores</th>\n",
       "      <th>X5 latitude</th>\n",
       "      <th>X6 longitude</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012.917</td>\n",
       "      <td>32.0</td>\n",
       "      <td>84.87882</td>\n",
       "      <td>10</td>\n",
       "      <td>24.98298</td>\n",
       "      <td>121.54024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012.917</td>\n",
       "      <td>19.5</td>\n",
       "      <td>306.59470</td>\n",
       "      <td>9</td>\n",
       "      <td>24.98034</td>\n",
       "      <td>121.53951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013.583</td>\n",
       "      <td>13.3</td>\n",
       "      <td>561.98450</td>\n",
       "      <td>5</td>\n",
       "      <td>24.98746</td>\n",
       "      <td>121.54391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013.500</td>\n",
       "      <td>13.3</td>\n",
       "      <td>561.98450</td>\n",
       "      <td>5</td>\n",
       "      <td>24.98746</td>\n",
       "      <td>121.54391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2012.833</td>\n",
       "      <td>5.0</td>\n",
       "      <td>390.56840</td>\n",
       "      <td>5</td>\n",
       "      <td>24.97937</td>\n",
       "      <td>121.54245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>2013.000</td>\n",
       "      <td>13.7</td>\n",
       "      <td>4082.01500</td>\n",
       "      <td>0</td>\n",
       "      <td>24.94155</td>\n",
       "      <td>121.50381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>2012.667</td>\n",
       "      <td>5.6</td>\n",
       "      <td>90.45606</td>\n",
       "      <td>9</td>\n",
       "      <td>24.97433</td>\n",
       "      <td>121.54310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>2013.250</td>\n",
       "      <td>18.8</td>\n",
       "      <td>390.96960</td>\n",
       "      <td>7</td>\n",
       "      <td>24.97923</td>\n",
       "      <td>121.53986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>2013.000</td>\n",
       "      <td>8.1</td>\n",
       "      <td>104.81010</td>\n",
       "      <td>5</td>\n",
       "      <td>24.96674</td>\n",
       "      <td>121.54067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>2013.500</td>\n",
       "      <td>6.5</td>\n",
       "      <td>90.45606</td>\n",
       "      <td>9</td>\n",
       "      <td>24.97433</td>\n",
       "      <td>121.54310</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>414 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     X1 transaction date  X2 house age  \\\n",
       "No                                       \n",
       "1               2012.917          32.0   \n",
       "2               2012.917          19.5   \n",
       "3               2013.583          13.3   \n",
       "4               2013.500          13.3   \n",
       "5               2012.833           5.0   \n",
       "..                   ...           ...   \n",
       "410             2013.000          13.7   \n",
       "411             2012.667           5.6   \n",
       "412             2013.250          18.8   \n",
       "413             2013.000           8.1   \n",
       "414             2013.500           6.5   \n",
       "\n",
       "     X3 distance to the nearest MRT station  X4 number of convenience stores  \\\n",
       "No                                                                             \n",
       "1                                  84.87882                               10   \n",
       "2                                 306.59470                                9   \n",
       "3                                 561.98450                                5   \n",
       "4                                 561.98450                                5   \n",
       "5                                 390.56840                                5   \n",
       "..                                      ...                              ...   \n",
       "410                              4082.01500                                0   \n",
       "411                                90.45606                                9   \n",
       "412                               390.96960                                7   \n",
       "413                               104.81010                                5   \n",
       "414                                90.45606                                9   \n",
       "\n",
       "     X5 latitude  X6 longitude  \n",
       "No                              \n",
       "1       24.98298     121.54024  \n",
       "2       24.98034     121.53951  \n",
       "3       24.98746     121.54391  \n",
       "4       24.98746     121.54391  \n",
       "5       24.97937     121.54245  \n",
       "..           ...           ...  \n",
       "410     24.94155     121.50381  \n",
       "411     24.97433     121.54310  \n",
       "412     24.97923     121.53986  \n",
       "413     24.96674     121.54067  \n",
       "414     24.97433     121.54310  \n",
       "\n",
       "[414 rows x 6 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now the data is still in a dataframe format\n",
    "df[x_labels]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let us convert them into matrices\n",
    "X = np.asarray(df[x_labels])\n",
    "y = np.asarray(df[y_label])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Normalize the Data\n",
    "Normalizing is an important step in machine learning. Its function is to make the variables smaller in value. If the values we input to the machine learning model has a range that is too big, then it will not *converge*, or give a proper result. Here we will normalize all the dependent data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Normalize the data\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "scaler = MinMaxScaler()\n",
    "\n",
    "scaler.fit(X)\n",
    "X = scaler.transform(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train and Test split\n",
    "The data will be split into train and test because we need the data to train the model, but also spare some to test the model's validity and accuracy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split the data into train and test\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.1, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.        , 0.15068493, 0.0103754 , 0.9       , 0.51211827,\n",
       "        0.75016174],\n",
       "       [0.90938865, 0.0913242 , 0.32855561, 0.3       , 0.37469704,\n",
       "        0.42387319],\n",
       "       [0.81877729, 0.30136986, 0.26130607, 0.2       , 0.38839069,\n",
       "        0.46549493],\n",
       "       ...,\n",
       "       [0.        , 0.84703196, 0.1384846 , 0.1       , 0.48364033,\n",
       "        0.83135648],\n",
       "       [0.09061135, 0.29452055, 0.03515249, 0.7       , 0.41190015,\n",
       "        0.74875997],\n",
       "       [0.54585153, 0.2739726 , 0.20677973, 0.1       , 0.24200194,\n",
       "        0.80752642]])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[58.1],\n",
       "       [33.4],\n",
       "       [30.8],\n",
       "       [21.7],\n",
       "       [20.9]])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multiple Linear Regression Model\n",
    "\n",
    "Multiple linear regression (MLR), also known simply as multiple regression, is a statistical technique that uses several (multiple) variables to predict the outcome of a (one) response variable. The `scikit-learn` library uses a linear regression algorithm called the OLS."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the machine learning library Scikit-Learn\n",
    "from sklearn import linear_model\n",
    "\n",
    "regr = linear_model.LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Fit the model to the training data\n",
    "regr.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Regression coefficients [x1 x2 x3 x4 x5 x6]: [[  5.19752289 -11.42703184 -29.83092874  10.82105149  19.13379372\n",
      "   -1.8207899 ]]\n"
     ]
    }
   ],
   "source": [
    "# Linear regression coefficients\n",
    "print(f\"Regression coefficients [x1 x2 x3 x4 x5 x6]: {regr.coef_}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[34.6920798 ]\n",
      " [47.30118939]\n",
      " [21.92669234]\n",
      " [12.62287202]\n",
      " [42.69787196]]\n",
      "[[27.3]\n",
      " [54.4]\n",
      " [22. ]\n",
      " [11.6]\n",
      " [45.4]]\n"
     ]
    }
   ],
   "source": [
    "# Use the model to predict the result\n",
    "prediction = regr.predict(X_test)\n",
    "print(prediction[0:5])\n",
    "print(y_test[0:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy of the prediction is 0.7544596848431722\n"
     ]
    }
   ],
   "source": [
    "# Compare the values to get the score\n",
    "score = regr.score(X_test, y_test)\n",
    "print(\"The accuracy of the prediction is\", score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X1 transaction date: 2012.0\n",
      "X2 house age: 9.5\n",
      "X3 distance to the nearest MRT station: 100\n",
      "X4 number of convenience stores: 5\n",
      "X5 latitude: 24.978\n",
      "X6 longitude: 121.533\n",
      "[[-0.72816594  0.21689498  0.01185173  0.5         0.55659234  0.64125512]]\n",
      "Your dream House price is [[41.31890722]]\n"
     ]
    }
   ],
   "source": [
    "x_input = np.array([])\n",
    "for x in x_labels:\n",
    "    x_input = np.append(x_input, input(x + \": \"))\n",
    "    \n",
    "x_input = x_input.reshape(1,-1)\n",
    "\n",
    "x_input = scaler.transform(x_input)\n",
    "print(x_input)\n",
    "\n",
    "print(\"Your dream House price is\", regr.predict(x_input))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVM\n",
    "This is another kind of a machine learning model. [Link to Wiki](https://en.wikipedia.org/wiki/Support_vector_machine#:~:text=In%20machine%20learning%2C%20support%2Dvector,for%20classification%20and%20regression%20analysis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import svm\n",
    "\n",
    "regr = svm.SVR(gamma='scale', kernel='rbf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1, gamma='scale',\n",
       "    kernel='rbf', max_iter=-1, shrinking=True, tol=0.001, verbose=False)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regr.fit(X_train, y_train.ravel())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "print(f\"Regression coefficients [x1 x2 x3 x4 x5 x6]: {regr.coef_}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[29.87875409 47.25816185 26.1199992  20.38545237 39.37594551]\n",
      "[[27.3]\n",
      " [54.4]\n",
      " [22. ]\n",
      " [11.6]\n",
      " [45.4]]\n"
     ]
    }
   ],
   "source": [
    "# Use the model to predict the result\n",
    "prediction = regr.predict(X_test)\n",
    "print(prediction[0:5])\n",
    "print(y_test[0:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy of the prediction is 0.8099065985687073\n"
     ]
    }
   ],
   "source": [
    "# Compare the values to get the score\n",
    "score = regr.score(X_test, y_test)\n",
    "print(\"The accuracy of the prediction is\", score)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random Forest Regressor\n",
    "This is also another kind of a learning model. [Link to wiki](https://en.wikipedia.org/wiki/Random_forest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import ensemble\n",
    "\n",
    "regr = ensemble.RandomForestRegressor(n_estimators=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,\n",
       "                      max_features='auto', max_leaf_nodes=None,\n",
       "                      min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "                      min_samples_leaf=1, min_samples_split=2,\n",
       "                      min_weight_fraction_leaf=0.0, n_estimators=100,\n",
       "                      n_jobs=None, oob_score=False, random_state=None,\n",
       "                      verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regr.fit(X_train, y_train.ravel())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "print(f\"Regression coefficients [x1 x2 x3 x4 x5 x6]: {regr.coef_}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[25.0168     48.99675    23.794      13.799      58.20483333]\n",
      "[[27.3]\n",
      " [54.4]\n",
      " [22. ]\n",
      " [11.6]\n",
      " [45.4]]\n"
     ]
    }
   ],
   "source": [
    "# Use the model to predict the result\n",
    "prediction = regr.predict(X_test)\n",
    "print(prediction[0:5])\n",
    "print(y_test[0:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy of the prediction is 0.8050930840547277\n"
     ]
    }
   ],
   "source": [
    "# Compare the values to get the score\n",
    "score = regr.score(X_test, y_test)\n",
    "print(\"The accuracy of the prediction is\", score)"
   ]
  }
 ],
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