eda.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import missingno as msno\n",
    "import numpy as np\n",
    "from scipy import stats\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.preprocessing import FunctionTransformer\n",
    "from sklearn.preprocessing import KBinsDiscretizer\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.linear_model import LinearRegression,Ridge,Lasso\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn import metrics\n",
    "from sklearn.pipeline import Pipeline, make_pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>season</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weather</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2011-01-01 00:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.84</td>\n",
       "      <td>14.395</td>\n",
       "      <td>81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2011-01-01 01:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.02</td>\n",
       "      <td>13.635</td>\n",
       "      <td>80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>32</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011-01-01 02:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.02</td>\n",
       "      <td>13.635</td>\n",
       "      <td>80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011-01-01 03:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.84</td>\n",
       "      <td>14.395</td>\n",
       "      <td>75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2011-01-01 04:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.84</td>\n",
       "      <td>14.395</td>\n",
       "      <td>75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              datetime  season  holiday  workingday  weather  temp   atemp  \\\n",
       "0  2011-01-01 00:00:00       1        0           0        1  9.84  14.395   \n",
       "1  2011-01-01 01:00:00       1        0           0        1  9.02  13.635   \n",
       "2  2011-01-01 02:00:00       1        0           0        1  9.02  13.635   \n",
       "3  2011-01-01 03:00:00       1        0           0        1  9.84  14.395   \n",
       "4  2011-01-01 04:00:00       1        0           0        1  9.84  14.395   \n",
       "\n",
       "   humidity  windspeed  casual  registered  count  \n",
       "0        81        0.0       3          13     16  \n",
       "1        80        0.0       8          32     40  \n",
       "2        80        0.0       5          27     32  \n",
       "3        75        0.0       3          10     13  \n",
       "4        75        0.0       0           1      1  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('train.csv')  #parse_dates=True\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Fields\n",
    "datetime - hourly date + timestamp  \n",
    "season -  1 = spring, 2 = summer, 3 = fall, 4 = winter\n",
    "<br>\n",
    "holiday - whether the day is considered a holiday\n",
    "<br>\n",
    "workingday - whether the day is neither a weekend nor holiday\n",
    "<br>\n",
    "weather - \n",
    "<br>\n",
    "1: Clear, Few clouds, Partly cloudy, Partly cloudy\n",
    "<br>\n",
    "2: Mist + Cloudy, Mist + Broken clouds, Mist + Few clouds, Mist\n",
    "<br>\n",
    "3: Light Snow, Light Rain + Thunderstorm + Scattered clouds, Light Rain + Scattered clouds\n",
    "<br>\n",
    "4: Heavy Rain + Ice Pallets + Thunderstorm + Mist, Snow + Fog \n",
    "temp - temperature in Celsius\n",
    "<br>\n",
    "atemp - \"feels like\" temperature in Celsius\n",
    "<br>\n",
    "humidity - relative humidity\n",
    "<br>\n",
    "windspeed - wind speed\n",
    "<br>\n",
    "casual - number of non-registered user rentals initiated\n",
    "<br>\n",
    "registered - number of registered user rentals initiated\n",
    "<br>\n",
    "count - number of total rentals"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Workflow**\n",
    "\n",
    "1. Split: train, validation, test\n",
    "2. EDA (...) exploratory data analysis: we look at features, their distributions, cleaning the data, filling missing values, lloking at correlation between features and output and in between features ...etc.\n",
    "3. (We fit a very straightforward simple model as our baseline (e.g. dummy classifier))\n",
    "5. use train and validation data to iteratively improve my model/find best model (feature engineering, hyperparameter tuning, ...)\n",
    "6. apply best model to test data to estimate how the model will perform on new data (using test score, should not vary too much from the best validation score I get in step 4-5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10886 entries, 0 to 10885\n",
      "Data columns (total 12 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   datetime    10886 non-null  object \n",
      " 1   season      10886 non-null  int64  \n",
      " 2   holiday     10886 non-null  int64  \n",
      " 3   workingday  10886 non-null  int64  \n",
      " 4   weather     10886 non-null  int64  \n",
      " 5   temp        10886 non-null  float64\n",
      " 6   atemp       10886 non-null  float64\n",
      " 7   humidity    10886 non-null  int64  \n",
      " 8   windspeed   10886 non-null  float64\n",
      " 9   casual      10886 non-null  int64  \n",
      " 10  registered  10886 non-null  int64  \n",
      " 11  count       10886 non-null  int64  \n",
      "dtypes: float64(3), int64(8), object(1)\n",
      "memory usage: 1020.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()\n",
    "#all non-null"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>season</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weather</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2011-01-01 00:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.84</td>\n",
       "      <td>14.395</td>\n",
       "      <td>81</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2011-01-01 01:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.02</td>\n",
       "      <td>13.635</td>\n",
       "      <td>80</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>8</td>\n",
       "      <td>32</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011-01-01 02:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.02</td>\n",
       "      <td>13.635</td>\n",
       "      <td>80</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011-01-01 03:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.84</td>\n",
       "      <td>14.395</td>\n",
       "      <td>75</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2011-01-01 04:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.84</td>\n",
       "      <td>14.395</td>\n",
       "      <td>75</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2011-01-01 05:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>9.84</td>\n",
       "      <td>12.880</td>\n",
       "      <td>75</td>\n",
       "      <td>6.0032</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2011-01-01 06:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.02</td>\n",
       "      <td>13.635</td>\n",
       "      <td>80</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2011-01-01 07:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8.20</td>\n",
       "      <td>12.880</td>\n",
       "      <td>86</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2011-01-01 08:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>9.84</td>\n",
       "      <td>14.395</td>\n",
       "      <td>75</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2011-01-01 09:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>13.12</td>\n",
       "      <td>17.425</td>\n",
       "      <td>76</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              datetime  season  holiday  workingday  weather   temp   atemp  \\\n",
       "0  2011-01-01 00:00:00       1        0           0        1   9.84  14.395   \n",
       "1  2011-01-01 01:00:00       1        0           0        1   9.02  13.635   \n",
       "2  2011-01-01 02:00:00       1        0           0        1   9.02  13.635   \n",
       "3  2011-01-01 03:00:00       1        0           0        1   9.84  14.395   \n",
       "4  2011-01-01 04:00:00       1        0           0        1   9.84  14.395   \n",
       "5  2011-01-01 05:00:00       1        0           0        2   9.84  12.880   \n",
       "6  2011-01-01 06:00:00       1        0           0        1   9.02  13.635   \n",
       "7  2011-01-01 07:00:00       1        0           0        1   8.20  12.880   \n",
       "8  2011-01-01 08:00:00       1        0           0        1   9.84  14.395   \n",
       "9  2011-01-01 09:00:00       1        0           0        1  13.12  17.425   \n",
       "\n",
       "   humidity  windspeed  casual  registered  count  \n",
       "0        81     0.0000       3          13     16  \n",
       "1        80     0.0000       8          32     40  \n",
       "2        80     0.0000       5          27     32  \n",
       "3        75     0.0000       3          10     13  \n",
       "4        75     0.0000       0           1      1  \n",
       "5        75     6.0032       0           1      1  \n",
       "6        80     0.0000       2           0      2  \n",
       "7        86     0.0000       1           2      3  \n",
       "8        75     0.0000       1           7      8  \n",
       "9        76     0.0000       8           6     14  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train Test Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop(['count'], axis=1) \n",
    "y = df['count']\n",
    "\n",
    "#df.drop(columns='col1') or df.drop('col1', axis=1)\n",
    "#drop raw. df.drop(index=['row1', 'row2']), df.drop(['row1', 'row2'], axis=0) or df.drop(['row1', 'row2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y,random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((8164, 11), (2722, 11), (8164,), (2722,))"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape, X_test.shape, y_train.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data = [X_train, y_train]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.concat(train_data, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>season</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weather</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2930</th>\n",
       "      <td>2011-07-11 00:00:00</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>28.70</td>\n",
       "      <td>32.575</td>\n",
       "      <td>65</td>\n",
       "      <td>12.9980</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7669</th>\n",
       "      <td>2012-05-18 22:00:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>22.96</td>\n",
       "      <td>26.515</td>\n",
       "      <td>52</td>\n",
       "      <td>22.0028</td>\n",
       "      <td>57</td>\n",
       "      <td>194</td>\n",
       "      <td>251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1346</th>\n",
       "      <td>2011-04-01 23:00:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>12.30</td>\n",
       "      <td>15.910</td>\n",
       "      <td>61</td>\n",
       "      <td>6.0032</td>\n",
       "      <td>12</td>\n",
       "      <td>41</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9432</th>\n",
       "      <td>2012-09-16 09:00:00</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>23.78</td>\n",
       "      <td>27.275</td>\n",
       "      <td>60</td>\n",
       "      <td>8.9981</td>\n",
       "      <td>70</td>\n",
       "      <td>226</td>\n",
       "      <td>296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>2011-02-01 23:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>8.20</td>\n",
       "      <td>9.850</td>\n",
       "      <td>93</td>\n",
       "      <td>12.9980</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>16</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5734</th>\n",
       "      <td>2012-01-14 02:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.56</td>\n",
       "      <td>8.335</td>\n",
       "      <td>47</td>\n",
       "      <td>11.0014</td>\n",
       "      <td>6</td>\n",
       "      <td>32</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5191</th>\n",
       "      <td>2011-12-10 09:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.48</td>\n",
       "      <td>12.880</td>\n",
       "      <td>61</td>\n",
       "      <td>19.0012</td>\n",
       "      <td>15</td>\n",
       "      <td>134</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5390</th>\n",
       "      <td>2011-12-18 16:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.48</td>\n",
       "      <td>13.635</td>\n",
       "      <td>48</td>\n",
       "      <td>16.9979</td>\n",
       "      <td>27</td>\n",
       "      <td>207</td>\n",
       "      <td>234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>2011-02-19 07:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>15.58</td>\n",
       "      <td>19.695</td>\n",
       "      <td>17</td>\n",
       "      <td>35.0008</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7270</th>\n",
       "      <td>2012-05-02 07:00:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>22.14</td>\n",
       "      <td>25.760</td>\n",
       "      <td>88</td>\n",
       "      <td>12.9980</td>\n",
       "      <td>14</td>\n",
       "      <td>344</td>\n",
       "      <td>358</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8164 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 datetime  season  holiday  workingday  weather   temp  \\\n",
       "2930  2011-07-11 00:00:00       3        0           1        1  28.70   \n",
       "7669  2012-05-18 22:00:00       2        0           1        1  22.96   \n",
       "1346  2011-04-01 23:00:00       2        0           1        1  12.30   \n",
       "9432  2012-09-16 09:00:00       3        0           0        1  23.78   \n",
       "453   2011-02-01 23:00:00       1        0           1        3   8.20   \n",
       "...                   ...     ...      ...         ...      ...    ...   \n",
       "5734  2012-01-14 02:00:00       1        0           0        1   6.56   \n",
       "5191  2011-12-10 09:00:00       4        0           0        1  11.48   \n",
       "5390  2011-12-18 16:00:00       4        0           0        1  11.48   \n",
       "860   2011-02-19 07:00:00       1        0           0        1  15.58   \n",
       "7270  2012-05-02 07:00:00       2        0           1        2  22.14   \n",
       "\n",
       "       atemp  humidity  windspeed  casual  registered  count  \n",
       "2930  32.575        65    12.9980      10          25     35  \n",
       "7669  26.515        52    22.0028      57         194    251  \n",
       "1346  15.910        61     6.0032      12          41     53  \n",
       "9432  27.275        60     8.9981      70         226    296  \n",
       "453    9.850        93    12.9980       1          15     16  \n",
       "...      ...       ...        ...     ...         ...    ...  \n",
       "5734   8.335        47    11.0014       6          32     38  \n",
       "5191  12.880        61    19.0012      15         134    149  \n",
       "5390  13.635        48    16.9979      27         207    234  \n",
       "860   19.695        17    35.0008       6          16     22  \n",
       "7270  25.760        88    12.9980      14         344    358  \n",
       "\n",
       "[8164 rows x 12 columns]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "#datetime's type is object. We should convert it to datetime.\n",
    "df.datetime = pd.to_datetime(df.datetime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create new fcolumns from 'datetime' olumn\n",
    "df['year'] = df['datetime'].dt.year\n",
    "df['month'] = df['datetime'].dt.month\n",
    "df['day'] = df['datetime'].dt.day\n",
    "df['hour'] = df['datetime'].dt.hour\n",
    "df['weekday'] = df['datetime'].dt.day_name()\n",
    "\n",
    "#dt.day_name, dt.day_name() difference\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "#pd.concat([df[['day']],pd.get_dummies(df[['year','month','weekday','hour']],columns=['year','month','weekday','hour'])],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2930       Monday\n",
       "7669       Friday\n",
       "1346       Friday\n",
       "9432       Sunday\n",
       "453       Tuesday\n",
       "          ...    \n",
       "5734     Saturday\n",
       "5191     Saturday\n",
       "5390       Sunday\n",
       "860      Saturday\n",
       "7270    Wednesday\n",
       "Name: weekday, Length: 8164, dtype: object"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['weekday']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Change the category name for visualization\n",
    "df[\"season\"] = df.season.map({1: \"Spring\", 2 : \"Summer\", 3 : \"Fall\", 4 :\"Winter\" })\n",
    "\n",
    "df[\"weather\"] = df.weather.map({1: \" Clear + Few clouds + Partly cloudy + Partly cloudy\",\\\n",
    "                                        2 : \" Mist + Cloudy, Mist + Broken clouds, Mist + Few clouds, Mist \", \\\n",
    "                                        3 : \" Light Snow, Light Rain + Thunderstorm + Scattered clouds, Light Rain + Scattered clouds\", \\\n",
    "                                        4 :\" Heavy Rain + Ice Pallets + Thunderstorm + Mist, Snow + Fog \" })\n",
    "\n",
    "#df.season.map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "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>datetime</th>\n",
       "      <th>season</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weather</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>count</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>weekday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2930</th>\n",
       "      <td>2011-07-11 00:00:00</td>\n",
       "      <td>Fall</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>28.70</td>\n",
       "      <td>32.575</td>\n",
       "      <td>65</td>\n",
       "      <td>12.9980</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>35</td>\n",
       "      <td>2011</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7669</th>\n",
       "      <td>2012-05-18 22:00:00</td>\n",
       "      <td>Summer</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>22.96</td>\n",
       "      <td>26.515</td>\n",
       "      <td>52</td>\n",
       "      <td>22.0028</td>\n",
       "      <td>57</td>\n",
       "      <td>194</td>\n",
       "      <td>251</td>\n",
       "      <td>2012</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1346</th>\n",
       "      <td>2011-04-01 23:00:00</td>\n",
       "      <td>Summer</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>12.30</td>\n",
       "      <td>15.910</td>\n",
       "      <td>61</td>\n",
       "      <td>6.0032</td>\n",
       "      <td>12</td>\n",
       "      <td>41</td>\n",
       "      <td>53</td>\n",
       "      <td>2011</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9432</th>\n",
       "      <td>2012-09-16 09:00:00</td>\n",
       "      <td>Fall</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>23.78</td>\n",
       "      <td>27.275</td>\n",
       "      <td>60</td>\n",
       "      <td>8.9981</td>\n",
       "      <td>70</td>\n",
       "      <td>226</td>\n",
       "      <td>296</td>\n",
       "      <td>2012</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>9</td>\n",
       "      <td>Sunday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>2011-02-01 23:00:00</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Light Snow, Light Rain + Thunderstorm + Scatt...</td>\n",
       "      <td>8.20</td>\n",
       "      <td>9.850</td>\n",
       "      <td>93</td>\n",
       "      <td>12.9980</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>16</td>\n",
       "      <td>2011</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>Tuesday</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5734</th>\n",
       "      <td>2012-01-14 02:00:00</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>6.56</td>\n",
       "      <td>8.335</td>\n",
       "      <td>47</td>\n",
       "      <td>11.0014</td>\n",
       "      <td>6</td>\n",
       "      <td>32</td>\n",
       "      <td>38</td>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5191</th>\n",
       "      <td>2011-12-10 09:00:00</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>11.48</td>\n",
       "      <td>12.880</td>\n",
       "      <td>61</td>\n",
       "      <td>19.0012</td>\n",
       "      <td>15</td>\n",
       "      <td>134</td>\n",
       "      <td>149</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5390</th>\n",
       "      <td>2011-12-18 16:00:00</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>11.48</td>\n",
       "      <td>13.635</td>\n",
       "      <td>48</td>\n",
       "      <td>16.9979</td>\n",
       "      <td>27</td>\n",
       "      <td>207</td>\n",
       "      <td>234</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>16</td>\n",
       "      <td>Sunday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>2011-02-19 07:00:00</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>15.58</td>\n",
       "      <td>19.695</td>\n",
       "      <td>17</td>\n",
       "      <td>35.0008</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>22</td>\n",
       "      <td>2011</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7270</th>\n",
       "      <td>2012-05-02 07:00:00</td>\n",
       "      <td>Summer</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Mist + Cloudy, Mist + Broken clouds, Mist + F...</td>\n",
       "      <td>22.14</td>\n",
       "      <td>25.760</td>\n",
       "      <td>88</td>\n",
       "      <td>12.9980</td>\n",
       "      <td>14</td>\n",
       "      <td>344</td>\n",
       "      <td>358</td>\n",
       "      <td>2012</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8164 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                datetime  season  holiday  workingday  \\\n",
       "2930 2011-07-11 00:00:00    Fall        0           1   \n",
       "7669 2012-05-18 22:00:00  Summer        0           1   \n",
       "1346 2011-04-01 23:00:00  Summer        0           1   \n",
       "9432 2012-09-16 09:00:00    Fall        0           0   \n",
       "453  2011-02-01 23:00:00  Spring        0           1   \n",
       "...                  ...     ...      ...         ...   \n",
       "5734 2012-01-14 02:00:00  Spring        0           0   \n",
       "5191 2011-12-10 09:00:00  Winter        0           0   \n",
       "5390 2011-12-18 16:00:00  Winter        0           0   \n",
       "860  2011-02-19 07:00:00  Spring        0           0   \n",
       "7270 2012-05-02 07:00:00  Summer        0           1   \n",
       "\n",
       "                                                weather   temp   atemp  \\\n",
       "2930   Clear + Few clouds + Partly cloudy + Partly c...  28.70  32.575   \n",
       "7669   Clear + Few clouds + Partly cloudy + Partly c...  22.96  26.515   \n",
       "1346   Clear + Few clouds + Partly cloudy + Partly c...  12.30  15.910   \n",
       "9432   Clear + Few clouds + Partly cloudy + Partly c...  23.78  27.275   \n",
       "453    Light Snow, Light Rain + Thunderstorm + Scatt...   8.20   9.850   \n",
       "...                                                 ...    ...     ...   \n",
       "5734   Clear + Few clouds + Partly cloudy + Partly c...   6.56   8.335   \n",
       "5191   Clear + Few clouds + Partly cloudy + Partly c...  11.48  12.880   \n",
       "5390   Clear + Few clouds + Partly cloudy + Partly c...  11.48  13.635   \n",
       "860    Clear + Few clouds + Partly cloudy + Partly c...  15.58  19.695   \n",
       "7270   Mist + Cloudy, Mist + Broken clouds, Mist + F...  22.14  25.760   \n",
       "\n",
       "      humidity  windspeed  casual  registered  count  year  month  day  hour  \\\n",
       "2930        65    12.9980      10          25     35  2011      7   11     0   \n",
       "7669        52    22.0028      57         194    251  2012      5   18    22   \n",
       "1346        61     6.0032      12          41     53  2011      4    1    23   \n",
       "9432        60     8.9981      70         226    296  2012      9   16     9   \n",
       "453         93    12.9980       1          15     16  2011      2    1    23   \n",
       "...        ...        ...     ...         ...    ...   ...    ...  ...   ...   \n",
       "5734        47    11.0014       6          32     38  2012      1   14     2   \n",
       "5191        61    19.0012      15         134    149  2011     12   10     9   \n",
       "5390        48    16.9979      27         207    234  2011     12   18    16   \n",
       "860         17    35.0008       6          16     22  2011      2   19     7   \n",
       "7270        88    12.9980      14         344    358  2012      5    2     7   \n",
       "\n",
       "        weekday  \n",
       "2930     Monday  \n",
       "7669     Friday  \n",
       "1346     Friday  \n",
       "9432     Sunday  \n",
       "453     Tuesday  \n",
       "...         ...  \n",
       "5734   Saturday  \n",
       "5191   Saturday  \n",
       "5390     Sunday  \n",
       "860    Saturday  \n",
       "7270  Wednesday  \n",
       "\n",
       "[8164 rows x 17 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'variableTypeariable Type'),\n",
       " Text(0, 0.5, 'Count'),\n",
       " Text(0.5, 1.0, 'Variables DataType Count')]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataTypeDf = pd.DataFrame(df.dtypes.value_counts()).reset_index().rename(columns={\"index\":\"variableType\",0:\"count\"})\n",
    "fig,ax = plt.subplots()\n",
    "fig.set_size_inches(12,5)\n",
    "sns.barplot(data=dataTypeDf,x=\"variableType\",y=\"count\",ax=ax)\n",
    "ax.set(xlabel='variableTypeariable Type', ylabel='Count',title=\"Variables DataType Count\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Outliers Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Working Day'),\n",
       " Text(0, 0.5, 'Count'),\n",
       " Text(0.5, 1.0, 'Box Plot On Count Across Working Day')]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2,ncols=2)\n",
    "fig.set_size_inches(20, 10)\n",
    "sns.boxplot(data=df,y=\"count\",orient=\"v\",ax=axes[0][0])\n",
    "sns.boxplot(data=df,y=\"count\",x=\"season\",orient=\"v\",ax=axes[0][1])\n",
    "sns.boxplot(data=df,y=\"count\",x=\"hour\",orient=\"v\",ax=axes[1][0])\n",
    "sns.boxplot(data=df,y=\"count\",x=\"workingday\",orient=\"v\",ax=axes[1][1])\n",
    "\n",
    "axes[0][0].set(ylabel='Count',title=\"Box Plot On Count\")\n",
    "axes[0][1].set(xlabel='Season', ylabel='Count',title=\"Box Plot On Count Across Season\")\n",
    "axes[1][0].set(xlabel='Hour Of The Day', ylabel='Count',title=\"Box Plot On Count Across Hour Of The Day\")\n",
    "axes[1][1].set(xlabel='Working Day', ylabel='Count',title=\"Box Plot On Count Across Working Day\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "#remove outliers\n",
    "dfWithoutOutliers = df[np.abs(df['count']-df['count'].mean())<=(2*df['count'].std())] \n",
    "\n",
    "#68% of the data falls within one standard deviation of the mean.\n",
    "#95% of the data falls within two standard deviations of the mean.\n",
    "#99.7% of the data falls within three standard deviations of the mean.\n",
    "\n",
    "#understand why np, np.abs later"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((8164, 17), (7724, 17))"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape, dfWithoutOutliers.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Working Day'),\n",
       " Text(0, 0.5, 'Count'),\n",
       " Text(0.5, 1.0, 'Box Plot On Count Across Working Day')]"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2,ncols=2)\n",
    "fig.set_size_inches(20, 10)\n",
    "sns.boxplot(data=dfWithoutOutliers,y=\"count\",orient=\"v\",ax=axes[0][0])\n",
    "sns.boxplot(data=dfWithoutOutliers,y=\"count\",x=\"season\",orient=\"v\",ax=axes[0][1])\n",
    "sns.boxplot(data=dfWithoutOutliers,y=\"count\",x=\"hour\",orient=\"v\",ax=axes[1][0])\n",
    "sns.boxplot(data=dfWithoutOutliers,y=\"count\",x=\"workingday\",orient=\"v\",ax=axes[1][1])\n",
    "\n",
    "axes[0][0].set(ylabel='Count',title=\"Box Plot On Count\")\n",
    "axes[0][1].set(xlabel='Season', ylabel='Count',title=\"Box Plot On Count Across Season\")\n",
    "axes[1][0].set(xlabel='Hour Of The Day', ylabel='Count',title=\"Box Plot On Count Across Hour Of The Day\")\n",
    "axes[1][1].set(xlabel='Working Day', ylabel='Count',title=\"Box Plot On Count Across Working Day\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tried two standard deviations and three standard deviation but two looks much less outliers so I use two here."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrMat = dfWithoutOutliers[[\"temp\",\"atemp\",\"casual\",\"registered\",\"humidity\",\"windspeed\",\"count\"]].corr()\n",
    "mask = np.array(corrMat)\n",
    "mask[np.tril_indices_from(mask)] = False\n",
    "fig,ax= plt.subplots()\n",
    "fig.set_size_inches(20,10)\n",
    "sns.heatmap(corrMat, mask=mask,vmax=.8, square=True,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='humidity', ylabel='count'>"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#just visualize\n",
    "fig,(ax1,ax2,ax3) = plt.subplots(ncols=3)\n",
    "fig.set_size_inches(15, 5)\n",
    "sns.regplot(x=\"temp\", y=\"count\", data=dfWithoutOutliers,ax=ax1)\n",
    "sns.regplot(x=\"windspeed\", y=\"count\", data=dfWithoutOutliers,ax=ax2)\n",
    "sns.regplot(x=\"humidity\", y=\"count\", data=dfWithoutOutliers,ax=ax3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "'casual' and 'registered' are not taken into account since they are leakage variables and obviously highly correlated.\n",
    "<br>\n",
    "'atemp' and 'temp' has got strong correlation with each other. I can also guess 'feels like' temprature should be correlated with temperature.\n",
    "<br>\n",
    "'windspeed' is not so correlated with 'count', how every there are many 0 value and if I could deal with it like missing value, I could see this regresson graph minus correlation. And I can imagine if windspeed is fast, people don't wanna use bikes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing Distribution Of Data (remove later)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/opt/anaconda3/lib/python3.8/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "((array([-3.74628769, -3.51749868, -3.39171933, ...,  3.39171933,\n",
       "          3.51749868,  3.74628769]),\n",
       "  array([0.69314718, 0.69314718, 0.69314718, ..., 6.315358  , 6.31716469,\n",
       "         6.31716469])),\n",
       " (1.3190877434985686, 4.4783789095374535, 0.9536328670801815))"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes = plt.subplots(ncols=2,nrows=2)\n",
    "fig.set_size_inches(12, 10)\n",
    "sns.distplot(df['count'],ax=axes[0][0])\n",
    "stats.probplot(df['count'], dist='norm', fit=True, plot=axes[0][1])\n",
    "sns.distplot(np.log(dfWithoutOutliers['count']),ax=axes[1][0])\n",
    "stats.probplot(np.log1p(dfWithoutOutliers['count']), dist='norm', fit=True, plot=axes[1][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "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>datetime</th>\n",
       "      <th>season</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weather</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>count</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>weekday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2930</th>\n",
       "      <td>2011-07-11 00:00:00</td>\n",
       "      <td>Fall</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>28.70</td>\n",
       "      <td>32.575</td>\n",
       "      <td>65</td>\n",
       "      <td>12.9980</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>35</td>\n",
       "      <td>2011</td>\n",
       "      <td>7</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7669</th>\n",
       "      <td>2012-05-18 22:00:00</td>\n",
       "      <td>Summer</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>22.96</td>\n",
       "      <td>26.515</td>\n",
       "      <td>52</td>\n",
       "      <td>22.0028</td>\n",
       "      <td>57</td>\n",
       "      <td>194</td>\n",
       "      <td>251</td>\n",
       "      <td>2012</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1346</th>\n",
       "      <td>2011-04-01 23:00:00</td>\n",
       "      <td>Summer</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>12.30</td>\n",
       "      <td>15.910</td>\n",
       "      <td>61</td>\n",
       "      <td>6.0032</td>\n",
       "      <td>12</td>\n",
       "      <td>41</td>\n",
       "      <td>53</td>\n",
       "      <td>2011</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9432</th>\n",
       "      <td>2012-09-16 09:00:00</td>\n",
       "      <td>Fall</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>23.78</td>\n",
       "      <td>27.275</td>\n",
       "      <td>60</td>\n",
       "      <td>8.9981</td>\n",
       "      <td>70</td>\n",
       "      <td>226</td>\n",
       "      <td>296</td>\n",
       "      <td>2012</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>9</td>\n",
       "      <td>Sunday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>2011-02-01 23:00:00</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Light Snow, Light Rain + Thunderstorm + Scatt...</td>\n",
       "      <td>8.20</td>\n",
       "      <td>9.850</td>\n",
       "      <td>93</td>\n",
       "      <td>12.9980</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>16</td>\n",
       "      <td>2011</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>23</td>\n",
       "      <td>Tuesday</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5734</th>\n",
       "      <td>2012-01-14 02:00:00</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>6.56</td>\n",
       "      <td>8.335</td>\n",
       "      <td>47</td>\n",
       "      <td>11.0014</td>\n",
       "      <td>6</td>\n",
       "      <td>32</td>\n",
       "      <td>38</td>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5191</th>\n",
       "      <td>2011-12-10 09:00:00</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>11.48</td>\n",
       "      <td>12.880</td>\n",
       "      <td>61</td>\n",
       "      <td>19.0012</td>\n",
       "      <td>15</td>\n",
       "      <td>134</td>\n",
       "      <td>149</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5390</th>\n",
       "      <td>2011-12-18 16:00:00</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>11.48</td>\n",
       "      <td>13.635</td>\n",
       "      <td>48</td>\n",
       "      <td>16.9979</td>\n",
       "      <td>27</td>\n",
       "      <td>207</td>\n",
       "      <td>234</td>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>16</td>\n",
       "      <td>Sunday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>2011-02-19 07:00:00</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Clear + Few clouds + Partly cloudy + Partly c...</td>\n",
       "      <td>15.58</td>\n",
       "      <td>19.695</td>\n",
       "      <td>17</td>\n",
       "      <td>35.0008</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>22</td>\n",
       "      <td>2011</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7270</th>\n",
       "      <td>2012-05-02 07:00:00</td>\n",
       "      <td>Summer</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Mist + Cloudy, Mist + Broken clouds, Mist + F...</td>\n",
       "      <td>22.14</td>\n",
       "      <td>25.760</td>\n",
       "      <td>88</td>\n",
       "      <td>12.9980</td>\n",
       "      <td>14</td>\n",
       "      <td>344</td>\n",
       "      <td>358</td>\n",
       "      <td>2012</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7724 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                datetime  season  holiday  workingday  \\\n",
       "2930 2011-07-11 00:00:00    Fall        0           1   \n",
       "7669 2012-05-18 22:00:00  Summer        0           1   \n",
       "1346 2011-04-01 23:00:00  Summer        0           1   \n",
       "9432 2012-09-16 09:00:00    Fall        0           0   \n",
       "453  2011-02-01 23:00:00  Spring        0           1   \n",
       "...                  ...     ...      ...         ...   \n",
       "5734 2012-01-14 02:00:00  Spring        0           0   \n",
       "5191 2011-12-10 09:00:00  Winter        0           0   \n",
       "5390 2011-12-18 16:00:00  Winter        0           0   \n",
       "860  2011-02-19 07:00:00  Spring        0           0   \n",
       "7270 2012-05-02 07:00:00  Summer        0           1   \n",
       "\n",
       "                                                weather   temp   atemp  \\\n",
       "2930   Clear + Few clouds + Partly cloudy + Partly c...  28.70  32.575   \n",
       "7669   Clear + Few clouds + Partly cloudy + Partly c...  22.96  26.515   \n",
       "1346   Clear + Few clouds + Partly cloudy + Partly c...  12.30  15.910   \n",
       "9432   Clear + Few clouds + Partly cloudy + Partly c...  23.78  27.275   \n",
       "453    Light Snow, Light Rain + Thunderstorm + Scatt...   8.20   9.850   \n",
       "...                                                 ...    ...     ...   \n",
       "5734   Clear + Few clouds + Partly cloudy + Partly c...   6.56   8.335   \n",
       "5191   Clear + Few clouds + Partly cloudy + Partly c...  11.48  12.880   \n",
       "5390   Clear + Few clouds + Partly cloudy + Partly c...  11.48  13.635   \n",
       "860    Clear + Few clouds + Partly cloudy + Partly c...  15.58  19.695   \n",
       "7270   Mist + Cloudy, Mist + Broken clouds, Mist + F...  22.14  25.760   \n",
       "\n",
       "      humidity  windspeed  casual  registered  count  year  month  day  hour  \\\n",
       "2930        65    12.9980      10          25     35  2011      7   11     0   \n",
       "7669        52    22.0028      57         194    251  2012      5   18    22   \n",
       "1346        61     6.0032      12          41     53  2011      4    1    23   \n",
       "9432        60     8.9981      70         226    296  2012      9   16     9   \n",
       "453         93    12.9980       1          15     16  2011      2    1    23   \n",
       "...        ...        ...     ...         ...    ...   ...    ...  ...   ...   \n",
       "5734        47    11.0014       6          32     38  2012      1   14     2   \n",
       "5191        61    19.0012      15         134    149  2011     12   10     9   \n",
       "5390        48    16.9979      27         207    234  2011     12   18    16   \n",
       "860         17    35.0008       6          16     22  2011      2   19     7   \n",
       "7270        88    12.9980      14         344    358  2012      5    2     7   \n",
       "\n",
       "        weekday  \n",
       "2930     Monday  \n",
       "7669     Friday  \n",
       "1346     Friday  \n",
       "9432     Sunday  \n",
       "453     Tuesday  \n",
       "...         ...  \n",
       "5734   Saturday  \n",
       "5191   Saturday  \n",
       "5390     Sunday  \n",
       "860    Saturday  \n",
       "7270  Wednesday  \n",
       "\n",
       "[7724 rows x 17 columns]"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfWithoutOutliers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Count Vs Month, Season, Hour and Weekday"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'Hour Of The Day'),\n",
       " Text(0, 0.5, 'Users Count'),\n",
       " Text(0.5, 1.0, 'Average Users Count By Hour Of The Day Across User Type'),\n",
       " None]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x1440 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,(ax1,ax2,ax3,ax4)= plt.subplots(nrows=4)\n",
    "fig.set_size_inches(20,20)\n",
    "sortOrder = [\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"]\n",
    "hueOrder = [\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"]\n",
    "\n",
    "monthAggregated = pd.DataFrame(dfWithoutOutliers.groupby(\"month\")[\"count\"].mean()).reset_index()\n",
    "monthSorted = monthAggregated.sort_values(by=\"count\",ascending=False) \n",
    "sns.pointplot(data=monthSorted,x=\"month\",y=\"count\",ax=ax1,order=sortOrder)\n",
    "ax1.set(xlabel='Month', ylabel='Avearage Count',title=\"Average Count By Month\")\n",
    "\n",
    "hourAggregated = pd.DataFrame(dfWithoutOutliers.groupby([\"hour\",\"season\"],sort=True)[\"count\"].mean()).reset_index()\n",
    "sns.pointplot(x=hourAggregated[\"hour\"], y=hourAggregated[\"count\"],hue=hourAggregated[\"season\"], data=hourAggregated, join=True,ax=ax2)\n",
    "ax2.set(xlabel='Hour Of The Day', ylabel='Users Count',title=\"Average Users Count By Hour Of The Day Across Season\",label='big')\n",
    "\n",
    "hourAggregated = pd.DataFrame(dfWithoutOutliers.groupby([\"hour\",\"weekday\"],sort=True)[\"count\"].mean()).reset_index()\n",
    "sns.pointplot(x=hourAggregated[\"hour\"], y=hourAggregated[\"count\"],hue=hourAggregated[\"weekday\"],hue_order=hueOrder, data=hourAggregated, join=True,ax=ax3)\n",
    "ax3.set(xlabel='Hour Of The Day', ylabel='Users Count',title=\"Average Users Count By Hour Of The Day Across Weekdays\",label='big')\n",
    "\n",
    "hourTransformed = pd.melt(dfWithoutOutliers[[\"hour\",\"casual\",\"registered\"]], id_vars=['hour'], value_vars=['casual', 'registered'])\n",
    "hourAggregated = pd.DataFrame(hourTransformed.groupby([\"hour\",\"variable\"],sort=True)[\"value\"].mean()).reset_index()\n",
    "sns.pointplot(x=hourAggregated[\"hour\"], y=hourAggregated[\"value\"],hue=hourAggregated[\"variable\"],hue_order=[\"casual\",\"registered\"], data=hourAggregated, join=True,ax=ax4)\n",
    "ax4.set(xlabel='Hour Of The Day', ylabel='Users Count',title=\"Average Users Count By Hour Of The Day Across User Type\",label='big')\n",
    "\n",
    "#why month average is not plotted?\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On weekdays more people tend to rent bicycle around 7AM-8AM and 5PM-6PM. Office hour or school hour. On the other hand, 'Saturday' and 'Sunday', more people tend to rent bicycle between 10AM and 4PM.\n",
    "<br>\n",
    "Registered users use in office hours more than casual users."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dealing with 0 values of 'windspeed'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use mean value to 'windspeed' 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "#colums of previous df are messed up during EDA so crearting again\n",
    "df = pd.read_csv('train.csv')  #parse_dates=True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10886 entries, 0 to 10885\n",
      "Data columns (total 12 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   datetime    10886 non-null  object \n",
      " 1   season      10886 non-null  int64  \n",
      " 2   holiday     10886 non-null  int64  \n",
      " 3   workingday  10886 non-null  int64  \n",
      " 4   weather     10886 non-null  int64  \n",
      " 5   temp        10886 non-null  float64\n",
      " 6   atemp       10886 non-null  float64\n",
      " 7   humidity    10886 non-null  int64  \n",
      " 8   windspeed   10886 non-null  float64\n",
      " 9   casual      10886 non-null  int64  \n",
      " 10  registered  10886 non-null  int64  \n",
      " 11  count       10886 non-null  int64  \n",
      "dtypes: float64(3), int64(8), object(1)\n",
      "memory usage: 1020.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop(['count', 'casual', 'registered'], axis=1) \n",
    "y = df['count']\n",
    "#added 'casual', 'registered because test.csv doesn't have these columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X,y,random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df = dfWithoutOutliers\n",
    "#dfWithoutOutliers = df[np.abs(df['count']-df['count'].mean())<=(2*df['count'].std())] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract(df):\n",
    "        df.datetime = pd.to_datetime(df.datetime)\n",
    "        df['day'] = df.datetime.dt.day\n",
    "        df['hour'] = df.datetime.dt.hour\n",
    "        df['weekday'] = df.datetime.dt.weekday\n",
    "        df['year'] = df.datetime.dt.year\n",
    "        df['month'] = df.datetime.dt.month\n",
    "        \n",
    "        return pd.concat([df[['day']],pd.get_dummies(df[['year','month','weekday','hour']],columns=['year','month','weekday','hour'])],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "preprosessor = ColumnTransformer([\n",
    "    ('do_nothing', 'passthrough', ['holiday', 'workingday']),\n",
    "    ('time_extact', FunctionTransformer(extract), ['datetime']),\n",
    "    ('one_hot_encoding', OneHotEncoder(sparse = False), ['season','weather']),\n",
    "    ('0_imputer', SimpleImputer(strategy='mean', fill_value=0), ['windspeed']),\n",
    "    #('bins',KBinsDiscretizer(n_bins= 7, encode = 'onehot-dense', strategy = 'quantile'),['temp','humidity','windspeed']) #R-squared 68 to 70 but RMSLE 9.15 to 9.39...\n",
    "    ], \n",
    "    remainder='drop')  #dropping 'casual', 'registered', 'count', 'atemp', 'date', 'datetime'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create the model pipeline\n",
    "pipeline = make_pipeline(preprosessor, LinearRegression())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pipeline(steps=[('columntransformer',\n",
       "                 ColumnTransformer(transformers=[('do_nothing', 'passthrough',\n",
       "                                                  ['holiday', 'workingday']),\n",
       "                                                 ('time_extact',\n",
       "                                                  FunctionTransformer(func=<function extract at 0x7fe18902db80>),\n",
       "                                                  ['datetime']),\n",
       "                                                 ('one_hot_encoding',\n",
       "                                                  OneHotEncoder(sparse=False),\n",
       "                                                  ['season', 'weather']),\n",
       "                                                 ('0_imputer',\n",
       "                                                  SimpleImputer(fill_value=0),\n",
       "                                                  ['windspeed'])])),\n",
       "                ('linearregression', LinearRegression())])"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipeline.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        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>datetime</th>\n",
       "      <th>season</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weather</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>humidity</th>\n",
       "      <th>windspeed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2930</th>\n",
       "      <td>2011-07-11 00:00:00</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>28.70</td>\n",
       "      <td>32.575</td>\n",
       "      <td>65</td>\n",
       "      <td>12.9980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7669</th>\n",
       "      <td>2012-05-18 22:00:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>22.96</td>\n",
       "      <td>26.515</td>\n",
       "      <td>52</td>\n",
       "      <td>22.0028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1346</th>\n",
       "      <td>2011-04-01 23:00:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>12.30</td>\n",
       "      <td>15.910</td>\n",
       "      <td>61</td>\n",
       "      <td>6.0032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9432</th>\n",
       "      <td>2012-09-16 09:00:00</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>23.78</td>\n",
       "      <td>27.275</td>\n",
       "      <td>60</td>\n",
       "      <td>8.9981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>2011-02-01 23:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>8.20</td>\n",
       "      <td>9.850</td>\n",
       "      <td>93</td>\n",
       "      <td>12.9980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5734</th>\n",
       "      <td>2012-01-14 02:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>6.56</td>\n",
       "      <td>8.335</td>\n",
       "      <td>47</td>\n",
       "      <td>11.0014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5191</th>\n",
       "      <td>2011-12-10 09:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.48</td>\n",
       "      <td>12.880</td>\n",
       "      <td>61</td>\n",
       "      <td>19.0012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5390</th>\n",
       "      <td>2011-12-18 16:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.48</td>\n",
       "      <td>13.635</td>\n",
       "      <td>48</td>\n",
       "      <td>16.9979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>2011-02-19 07:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>15.58</td>\n",
       "      <td>19.695</td>\n",
       "      <td>17</td>\n",
       "      <td>35.0008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7270</th>\n",
       "      <td>2012-05-02 07:00:00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>22.14</td>\n",
       "      <td>25.760</td>\n",
       "      <td>88</td>\n",
       "      <td>12.9980</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8164 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 datetime  season  holiday  workingday  weather   temp  \\\n",
       "2930  2011-07-11 00:00:00       3        0           1        1  28.70   \n",
       "7669  2012-05-18 22:00:00       2        0           1        1  22.96   \n",
       "1346  2011-04-01 23:00:00       2        0           1        1  12.30   \n",
       "9432  2012-09-16 09:00:00       3        0           0        1  23.78   \n",
       "453   2011-02-01 23:00:00       1        0           1        3   8.20   \n",
       "...                   ...     ...      ...         ...      ...    ...   \n",
       "5734  2012-01-14 02:00:00       1        0           0        1   6.56   \n",
       "5191  2011-12-10 09:00:00       4        0           0        1  11.48   \n",
       "5390  2011-12-18 16:00:00       4        0           0        1  11.48   \n",
       "860   2011-02-19 07:00:00       1        0           0        1  15.58   \n",
       "7270  2012-05-02 07:00:00       2        0           1        2  22.14   \n",
       "\n",
       "       atemp  humidity  windspeed  \n",
       "2930  32.575        65    12.9980  \n",
       "7669  26.515        52    22.0028  \n",
       "1346  15.910        61     6.0032  \n",
       "9432  27.275        60     8.9981  \n",
       "453    9.850        93    12.9980  \n",
       "...      ...       ...        ...  \n",
       "5734   8.335        47    11.0014  \n",
       "5191  12.880        61    19.0012  \n",
       "5390  13.635        48    16.9979  \n",
       "860   19.695        17    35.0008  \n",
       "7270  25.760        88    12.9980  \n",
       "\n",
       "[8164 rows x 9 columns]"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 8164 entries, 2930 to 7270\n",
      "Data columns (total 9 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   datetime    8164 non-null   object \n",
      " 1   season      8164 non-null   int64  \n",
      " 2   holiday     8164 non-null   int64  \n",
      " 3   workingday  8164 non-null   int64  \n",
      " 4   weather     8164 non-null   int64  \n",
      " 5   temp        8164 non-null   float64\n",
      " 6   atemp       8164 non-null   float64\n",
      " 7   humidity    8164 non-null   int64  \n",
      " 8   windspeed   8164 non-null   float64\n",
      "dtypes: float64(3), int64(5), object(1)\n",
      "memory usage: 637.8+ KB\n"
     ]
    }
   ],
   "source": [
    "X_train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6836804979292531"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipeline.score(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6802282244440019"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipeline.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Root Mean Squared Logarithmic Error (RMSLE)\n",
    "def rmsle(y_pred, y,convertExp=True):\n",
    "    if convertExp:\n",
    "        y_pred = np.exp(y_pred),\n",
    "        y = np.exp(y)\n",
    "    log1 = np.nan_to_num(np.array([np.log(v + 1) for v in y_pred]))\n",
    "    log2 = np.nan_to_num(np.array([np.log(v + 1) for v in y]))\n",
    "    calc = (log1 - log2) ** 2\n",
    "    return np.sqrt(np.mean(calc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = pipeline.predict(X_train) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.8/site-packages/pandas/core/arraylike.py:364: RuntimeWarning: overflow encountered in exp\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n",
      "/var/folders/fs/bmr1lyws1dx3sp07l0gytvmc0000gn/T/ipykernel_81161/3908407482.py:8: RuntimeWarning: overflow encountered in square\n",
      "  calc = (log1 - log2) ** 2\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "inf"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rmsle(y_pred, y_train, convertExp=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Submission..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "kaggle_data = pd.read_csv('test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>6489</th>\n",
       "      <td>2012-12-31 20:00:00</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>12.880</td>\n",
       "      <td>60</td>\n",
       "      <td>11.0014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6491</th>\n",
       "      <td>2012-12-31 22:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10.66</td>\n",
       "      <td>13.635</td>\n",
       "      <td>56</td>\n",
       "      <td>8.9981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6492</th>\n",
       "      <td>2012-12-31 23:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>10.66</td>\n",
       "      <td>13.635</td>\n",
       "      <td>65</td>\n",
       "      <td>8.9981</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6493 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 datetime  season  holiday  workingday  weather   temp  \\\n",
       "0     2011-01-20 00:00:00       1        0           1        1  10.66   \n",
       "1     2011-01-20 01:00:00       1        0           1        1  10.66   \n",
       "2     2011-01-20 02:00:00       1        0           1        1  10.66   \n",
       "3     2011-01-20 03:00:00       1        0           1        1  10.66   \n",
       "4     2011-01-20 04:00:00       1        0           1        1  10.66   \n",
       "...                   ...     ...      ...         ...      ...    ...   \n",
       "6488  2012-12-31 19:00:00       1        0           1        2  10.66   \n",
       "6489  2012-12-31 20:00:00       1        0           1        2  10.66   \n",
       "6490  2012-12-31 21:00:00       1        0           1        1  10.66   \n",
       "6491  2012-12-31 22:00:00       1        0           1        1  10.66   \n",
       "6492  2012-12-31 23:00:00       1        0           1        1  10.66   \n",
       "\n",
       "       atemp  humidity  windspeed  \n",
       "0     11.365        56    26.0027  \n",
       "1     13.635        56     0.0000  \n",
       "2     13.635        56     0.0000  \n",
       "3     12.880        56    11.0014  \n",
       "4     12.880        56    11.0014  \n",
       "...      ...       ...        ...  \n",
       "6488  12.880        60    11.0014  \n",
       "6489  12.880        60    11.0014  \n",
       "6490  12.880        60    11.0014  \n",
       "6491  13.635        56     8.9981  \n",
       "6492  13.635        65     8.9981  \n",
       "\n",
       "[6493 rows x 9 columns]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kaggle_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions = pipeline.predict(kaggle_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "submission = pd.DataFrame({'datetime':kaggle_data['datetime'],'count':predictions})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>2011-01-20 00:00:00</td>\n",
       "      <td>-8.431396e+01</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2011-01-20 01:00:00</td>\n",
       "      <td>-9.366492e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011-01-20 02:00:00</td>\n",
       "      <td>-1.047629e+02</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011-01-20 03:00:00</td>\n",
       "      <td>-1.273351e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2011-01-20 04:00:00</td>\n",
       "      <td>-1.266418e+02</td>\n",
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       "      <td>2012-12-31 19:00:00</td>\n",
       "      <td>5.187025e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6489</th>\n",
       "      <td>2012-12-31 20:00:00</td>\n",
       "      <td>5.187025e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6490</th>\n",
       "      <td>2012-12-31 21:00:00</td>\n",
       "      <td>5.187025e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6491</th>\n",
       "      <td>2012-12-31 22:00:00</td>\n",
       "      <td>5.187025e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6492</th>\n",
       "      <td>2012-12-31 23:00:00</td>\n",
       "      <td>5.187025e+11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6493 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 datetime         count\n",
       "0     2011-01-20 00:00:00 -8.431396e+01\n",
       "1     2011-01-20 01:00:00 -9.366492e+01\n",
       "2     2011-01-20 02:00:00 -1.047629e+02\n",
       "3     2011-01-20 03:00:00 -1.273351e+02\n",
       "4     2011-01-20 04:00:00 -1.266418e+02\n",
       "...                   ...           ...\n",
       "6488  2012-12-31 19:00:00  5.187025e+11\n",
       "6489  2012-12-31 20:00:00  5.187025e+11\n",
       "6490  2012-12-31 21:00:00  5.187025e+11\n",
       "6491  2012-12-31 22:00:00  5.187025e+11\n",
       "6492  2012-12-31 23:00:00  5.187025e+11\n",
       "\n",
       "[6493 rows x 2 columns]"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission\n",
    "#why minus..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Simply replace the negative predicted values with something else (e.g. zero). e,g: y_pred[y_pred < 0] = 0.0\n",
    "<br>\n",
    "Scale / transform the target column (bicycle count). Predict the log of count, for example: m.fit(Xtrain, np.log(ytrain)). Of course, then do not forget to \"un-log\" (i.e. np.exp()) the prediction afterwards, otherwise your model is reporting the log of the demand, which is on a different scale.\n",
    "<br>\n",
    "Use a model that doesn't extrapolate into the negative value problem, e.g. the RandomForestRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "#replace negative count to 0\n",
    "count_0 = submission['count'].where(submission['count'] >= 0, 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "submission = pd.DataFrame({'datetime':X_kaggle['datetime'],'count':count_0})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>datetime</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2011-01-20 00:00:00</td>\n",
       "      <td>0.000000e+00</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2011-01-20 01:00:00</td>\n",
       "      <td>0.000000e+00</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011-01-20 02:00:00</td>\n",
       "      <td>0.000000e+00</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011-01-20 03:00:00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2011-01-20 04:00:00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <th>6488</th>\n",
       "      <td>2012-12-31 19:00:00</td>\n",
       "      <td>5.187025e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6489</th>\n",
       "      <td>2012-12-31 20:00:00</td>\n",
       "      <td>5.187025e+11</td>\n",
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       "    <tr>\n",
       "      <th>6490</th>\n",
       "      <td>2012-12-31 21:00:00</td>\n",
       "      <td>5.187025e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6491</th>\n",
       "      <td>2012-12-31 22:00:00</td>\n",
       "      <td>5.187025e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6492</th>\n",
       "      <td>2012-12-31 23:00:00</td>\n",
       "      <td>5.187025e+11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6493 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 datetime         count\n",
       "0     2011-01-20 00:00:00  0.000000e+00\n",
       "1     2011-01-20 01:00:00  0.000000e+00\n",
       "2     2011-01-20 02:00:00  0.000000e+00\n",
       "3     2011-01-20 03:00:00  0.000000e+00\n",
       "4     2011-01-20 04:00:00  0.000000e+00\n",
       "...                   ...           ...\n",
       "6488  2012-12-31 19:00:00  5.187025e+11\n",
       "6489  2012-12-31 20:00:00  5.187025e+11\n",
       "6490  2012-12-31 21:00:00  5.187025e+11\n",
       "6491  2012-12-31 22:00:00  5.187025e+11\n",
       "6492  2012-12-31 23:00:00  5.187025e+11\n",
       "\n",
       "[6493 rows x 2 columns]"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved file: Bike Sharing Demand LR.csv\n"
     ]
    }
   ],
   "source": [
    "#Convert DataFrame to a csv file that can be uploaded\n",
    "filename = 'Bike Sharing Demand LR.csv'\n",
    "submission.to_csv(filename,index=False)\n",
    "print('Saved file: ' + filename)        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Memo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "#hour\n",
    "#day of week\n",
    "#sin cos, anything has cycle(min, hour)\n",
    "#how to deal with windspeed\n",
    "\n",
    "\n",
    "#Outliers Analysis\n",
    "#Correlation Analysis\n",
    "    #Feature selection(Lasso, RandomForestRegressor) (features are not so many though)\n",
    "#Visualizing Count Vs (Month,Season,Hour,Weekday,Usertype)\n",
    "\n",
    "#Future expansion for liniear regression\n",
    "#RandomForestRegressor for the model\n",
    "#Hypeprparameter optimization, , cross validation, gridsearch\n",
    "#Regularization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Questions"
   ]
  }
 ],
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