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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "injured-operations",
+   "metadata": {},
+   "source": [
+    "### Skrypt do ściagnięcia zbiory danych"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "engaging-wholesale",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install --user kaggle \n",
+    "!pip install --user pandas\n",
+    "!pip install --user numpy\n",
+    "!pip install --user seaborn\n",
+    "!pip install -U scikit-learn"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "cleared-shower",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading dataset from Kaggle...\n",
+      "/bin/bash: kaggle: command not found\n",
+      "Done.\n"
+     ]
+    }
+   ],
+   "source": [
+    "!echo \"Downloading dataset from Kaggle...\"\n",
+    "!kaggle datasets download -d harshitshankhdhar/imdb-dataset-of-top-1000-movies-and-tv-shows\n",
+    "!echo \"Done.\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "pleased-culture",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Unzipping archive\n",
+      "Done.\n"
+     ]
+    }
+   ],
+   "source": [
+    "!echo \"Unzipping archive\"\n",
+    "!files=$(unzip imdb-dataset-of-top-1000-movies-and-tv-shows.zip | tail -n +2 | cut -d ' ' -f 4)\n",
+    "!echo \"Done.\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "id": "extended-moderator",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "data=pd.read_csv('imdb_top_1000.csv')\n",
+    "# data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "outer-allah",
+   "metadata": {},
+   "source": [
+    "## Usuwanie kolumn\n",
+    "- Poster_Link: kolumna zawierająca linki do plakatów promujących film\n",
+    "- Overview: kolumna zawierająca recenzje poszczególnych filmów"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "id": "strange-honduras",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data.drop(columns=[\"Poster_Link\"], inplace=True)\n",
+    "data.drop(columns=[\"Overview\"], inplace=True)\n",
+    "# data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "preceding-values",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lowercase na polach tekstowych\n",
+    "data[\"Series_Title\"] = data[\"Series_Title\"].str.lower()\n",
+    "data[\"Genre\"] = data[\"Genre\"].str.lower()\n",
+    "data[\"Director\"] = data[\"Director\"].str.lower()\n",
+    "data[\"Star1\"] = data[\"Star1\"].str.lower()\n",
+    "data[\"Star2\"] = data[\"Star2\"].str.lower()\n",
+    "data[\"Star3\"] = data[\"Star3\"].str.lower()\n",
+    "data[\"Star4\"] = data[\"Star4\"].str.lower()\n",
+    "\n",
+    "# Usunięcie Nan i string to int \n",
+    "data = data.replace(np.nan, '', regex=True)\n",
+    "data[\"Gross\"] = data[\"Gross\"].str.replace(',', '')\n",
+    "data[\"Gross\"] = pd.to_numeric(data[\"Gross\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "id": "standard-rates",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1001 imdb_top_1000.csv\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Wielkosc zbioru\n",
+    "!wc -l imdb_top_1000.csv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "id": "experienced-nerve",
+   "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>Series_Title</th>\n",
+       "      <th>Released_Year</th>\n",
+       "      <th>Certificate</th>\n",
+       "      <th>Runtime</th>\n",
+       "      <th>Genre</th>\n",
+       "      <th>IMDB_Rating</th>\n",
+       "      <th>Meta_score</th>\n",
+       "      <th>Director</th>\n",
+       "      <th>Star1</th>\n",
+       "      <th>Star2</th>\n",
+       "      <th>Star3</th>\n",
+       "      <th>Star4</th>\n",
+       "      <th>No_of_Votes</th>\n",
+       "      <th>Gross</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>1.000000e+03</td>\n",
+       "      <td>8.310000e+02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>999</td>\n",
+       "      <td>100</td>\n",
+       "      <td>17</td>\n",
+       "      <td>140</td>\n",
+       "      <td>202</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>64</td>\n",
+       "      <td>548</td>\n",
+       "      <td>660</td>\n",
+       "      <td>841</td>\n",
+       "      <td>891</td>\n",
+       "      <td>939</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>drishyam</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>U</td>\n",
+       "      <td>130 min</td>\n",
+       "      <td>drama</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td>alfred hitchcock</td>\n",
+       "      <td>tom hanks</td>\n",
+       "      <td>emma watson</td>\n",
+       "      <td>rupert grint</td>\n",
+       "      <td>michael caine</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>2</td>\n",
+       "      <td>32</td>\n",
+       "      <td>234</td>\n",
+       "      <td>23</td>\n",
+       "      <td>85</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>157</td>\n",
+       "      <td>14</td>\n",
+       "      <td>12</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.949300</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.736929e+05</td>\n",
+       "      <td>6.803475e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.275491</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.273727e+05</td>\n",
+       "      <td>1.097500e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.600000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.508800e+04</td>\n",
+       "      <td>1.305000e+03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.700000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.552625e+04</td>\n",
+       "      <td>3.253559e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.385485e+05</td>\n",
+       "      <td>2.353089e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8.100000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.741612e+05</td>\n",
+       "      <td>8.075089e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.300000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.343110e+06</td>\n",
+       "      <td>9.366622e+08</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Series_Title Released_Year Certificate  Runtime  Genre  IMDB_Rating  \\\n",
+       "count          1000          1000        1000     1000   1000  1000.000000   \n",
+       "unique          999           100          17      140    202          NaN   \n",
+       "top        drishyam          2014           U  130 min  drama          NaN   \n",
+       "freq              2            32         234       23     85          NaN   \n",
+       "mean            NaN           NaN         NaN      NaN    NaN     7.949300   \n",
+       "std             NaN           NaN         NaN      NaN    NaN     0.275491   \n",
+       "min             NaN           NaN         NaN      NaN    NaN     7.600000   \n",
+       "25%             NaN           NaN         NaN      NaN    NaN     7.700000   \n",
+       "50%             NaN           NaN         NaN      NaN    NaN     7.900000   \n",
+       "75%             NaN           NaN         NaN      NaN    NaN     8.100000   \n",
+       "max             NaN           NaN         NaN      NaN    NaN     9.300000   \n",
+       "\n",
+       "       Meta_score          Director      Star1        Star2         Star3  \\\n",
+       "count        1000              1000       1000         1000          1000   \n",
+       "unique         64               548        660          841           891   \n",
+       "top                alfred hitchcock  tom hanks  emma watson  rupert grint   \n",
+       "freq          157                14         12            7             5   \n",
+       "mean          NaN               NaN        NaN          NaN           NaN   \n",
+       "std           NaN               NaN        NaN          NaN           NaN   \n",
+       "min           NaN               NaN        NaN          NaN           NaN   \n",
+       "25%           NaN               NaN        NaN          NaN           NaN   \n",
+       "50%           NaN               NaN        NaN          NaN           NaN   \n",
+       "75%           NaN               NaN        NaN          NaN           NaN   \n",
+       "max           NaN               NaN        NaN          NaN           NaN   \n",
+       "\n",
+       "                Star4   No_of_Votes         Gross  \n",
+       "count            1000  1.000000e+03  8.310000e+02  \n",
+       "unique            939           NaN           NaN  \n",
+       "top     michael caine           NaN           NaN  \n",
+       "freq                4           NaN           NaN  \n",
+       "mean              NaN  2.736929e+05  6.803475e+07  \n",
+       "std               NaN  3.273727e+05  1.097500e+08  \n",
+       "min               NaN  2.508800e+04  1.305000e+03  \n",
+       "25%               NaN  5.552625e+04  3.253559e+06  \n",
+       "50%               NaN  1.385485e+05  2.353089e+07  \n",
+       "75%               NaN  3.741612e+05  8.075089e+07  \n",
+       "max               NaN  2.343110e+06  9.366622e+08  "
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "id": "academic-principle",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "IMDB_Rating           7.9\n",
+       "No_of_Votes      138548.5\n",
+       "Gross          23530892.0\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.median()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "id": "spatial-unemployment",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(600, 14)\n",
+      "(200, 14)\n",
+      "(200, 14)\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "import sklearn\n",
+    "\n",
+    "data_train, data_test = train_test_split(data, test_size=400, random_state=1)\n",
+    "data_test, data_dev = train_test_split(data_test, test_size=200, random_state=1)\n",
+    "print(data_train.shape)\n",
+    "print(data_test.shape)\n",
+    "print(data_dev.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "id": "weird-webmaster",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.3333333333333333"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_test.size/data_train.size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "id": "narrow-assumption",
+   "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>Series_Title</th>\n",
+       "      <th>Released_Year</th>\n",
+       "      <th>Certificate</th>\n",
+       "      <th>Runtime</th>\n",
+       "      <th>Genre</th>\n",
+       "      <th>IMDB_Rating</th>\n",
+       "      <th>Meta_score</th>\n",
+       "      <th>Director</th>\n",
+       "      <th>Star1</th>\n",
+       "      <th>Star2</th>\n",
+       "      <th>Star3</th>\n",
+       "      <th>Star4</th>\n",
+       "      <th>No_of_Votes</th>\n",
+       "      <th>Gross</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>600</td>\n",
+       "      <td>600</td>\n",
+       "      <td>600</td>\n",
+       "      <td>600</td>\n",
+       "      <td>600</td>\n",
+       "      <td>600.000000</td>\n",
+       "      <td>600</td>\n",
+       "      <td>600</td>\n",
+       "      <td>600</td>\n",
+       "      <td>600</td>\n",
+       "      <td>600</td>\n",
+       "      <td>600</td>\n",
+       "      <td>6.000000e+02</td>\n",
+       "      <td>5.050000e+02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>599</td>\n",
+       "      <td>95</td>\n",
+       "      <td>17</td>\n",
+       "      <td>122</td>\n",
+       "      <td>163</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>61</td>\n",
+       "      <td>399</td>\n",
+       "      <td>448</td>\n",
+       "      <td>535</td>\n",
+       "      <td>545</td>\n",
+       "      <td>580</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>drishyam</td>\n",
+       "      <td>2004</td>\n",
+       "      <td>U</td>\n",
+       "      <td>130 min</td>\n",
+       "      <td>drama</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td>david fincher</td>\n",
+       "      <td>robert de niro</td>\n",
+       "      <td>emma watson</td>\n",
+       "      <td>rupert grint</td>\n",
+       "      <td>michael caine</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>2</td>\n",
+       "      <td>22</td>\n",
+       "      <td>133</td>\n",
+       "      <td>17</td>\n",
+       "      <td>45</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>88</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "      <td>6</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.947167</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.765041e+05</td>\n",
+       "      <td>6.726714e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.269282</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.219888e+05</td>\n",
+       "      <td>1.076309e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.600000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.508800e+04</td>\n",
+       "      <td>1.305000e+03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.700000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.705600e+04</td>\n",
+       "      <td>3.108485e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.414865e+05</td>\n",
+       "      <td>2.447542e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8.100000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.907975e+05</td>\n",
+       "      <td>8.340000e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.200000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.854740e+06</td>\n",
+       "      <td>9.366622e+08</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Series_Title Released_Year Certificate  Runtime  Genre  IMDB_Rating  \\\n",
+       "count           600           600         600      600    600   600.000000   \n",
+       "unique          599            95          17      122    163          NaN   \n",
+       "top        drishyam          2004           U  130 min  drama          NaN   \n",
+       "freq              2            22         133       17     45          NaN   \n",
+       "mean            NaN           NaN         NaN      NaN    NaN     7.947167   \n",
+       "std             NaN           NaN         NaN      NaN    NaN     0.269282   \n",
+       "min             NaN           NaN         NaN      NaN    NaN     7.600000   \n",
+       "25%             NaN           NaN         NaN      NaN    NaN     7.700000   \n",
+       "50%             NaN           NaN         NaN      NaN    NaN     7.900000   \n",
+       "75%             NaN           NaN         NaN      NaN    NaN     8.100000   \n",
+       "max             NaN           NaN         NaN      NaN    NaN     9.200000   \n",
+       "\n",
+       "       Meta_score       Director           Star1        Star2         Star3  \\\n",
+       "count         600            600             600          600           600   \n",
+       "unique         61            399             448          535           545   \n",
+       "top                david fincher  robert de niro  emma watson  rupert grint   \n",
+       "freq           88              8               8            6             4   \n",
+       "mean          NaN            NaN             NaN          NaN           NaN   \n",
+       "std           NaN            NaN             NaN          NaN           NaN   \n",
+       "min           NaN            NaN             NaN          NaN           NaN   \n",
+       "25%           NaN            NaN             NaN          NaN           NaN   \n",
+       "50%           NaN            NaN             NaN          NaN           NaN   \n",
+       "75%           NaN            NaN             NaN          NaN           NaN   \n",
+       "max           NaN            NaN             NaN          NaN           NaN   \n",
+       "\n",
+       "                Star4   No_of_Votes         Gross  \n",
+       "count             600  6.000000e+02  5.050000e+02  \n",
+       "unique            580           NaN           NaN  \n",
+       "top     michael caine           NaN           NaN  \n",
+       "freq                3           NaN           NaN  \n",
+       "mean              NaN  2.765041e+05  6.726714e+07  \n",
+       "std               NaN  3.219888e+05  1.076309e+08  \n",
+       "min               NaN  2.508800e+04  1.305000e+03  \n",
+       "25%               NaN  5.705600e+04  3.108485e+06  \n",
+       "50%               NaN  1.414865e+05  2.447542e+07  \n",
+       "75%               NaN  3.907975e+05  8.340000e+07  \n",
+       "max               NaN  1.854740e+06  9.366622e+08  "
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_train.describe(include=\"all\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "id": "significant-median",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\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>Series_Title</th>\n",
+       "      <th>Released_Year</th>\n",
+       "      <th>Certificate</th>\n",
+       "      <th>Runtime</th>\n",
+       "      <th>Genre</th>\n",
+       "      <th>IMDB_Rating</th>\n",
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+       "      <th>Star2</th>\n",
+       "      <th>Star3</th>\n",
+       "      <th>Star4</th>\n",
+       "      <th>No_of_Votes</th>\n",
+       "      <th>Gross</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200.000000</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>2.000000e+02</td>\n",
+       "      <td>1.600000e+02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>200</td>\n",
+       "      <td>75</td>\n",
+       "      <td>10</td>\n",
+       "      <td>88</td>\n",
+       "      <td>98</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>49</td>\n",
+       "      <td>162</td>\n",
+       "      <td>172</td>\n",
+       "      <td>192</td>\n",
+       "      <td>197</td>\n",
+       "      <td>198</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>in america</td>\n",
+       "      <td>2003</td>\n",
+       "      <td>A</td>\n",
+       "      <td>118 min</td>\n",
+       "      <td>drama</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td>woody allen</td>\n",
+       "      <td>humphrey bogart</td>\n",
+       "      <td>robert downey jr.</td>\n",
+       "      <td>lea thompson</td>\n",
+       "      <td>mark ruffalo</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>48</td>\n",
+       "      <td>7</td>\n",
+       "      <td>23</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>30</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.949500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.826230e+05</td>\n",
+       "      <td>7.249570e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.290381</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.501372e+05</td>\n",
+       "      <td>1.224538e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.600000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.519800e+04</td>\n",
+       "      <td>6.013000e+03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.700000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.038950e+04</td>\n",
+       "      <td>3.786699e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.354640e+05</td>\n",
+       "      <td>2.325044e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8.100000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.851505e+05</td>\n",
+       "      <td>7.603522e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.303232e+06</td>\n",
+       "      <td>8.583730e+08</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Series_Title Released_Year Certificate  Runtime  Genre  IMDB_Rating  \\\n",
+       "count           200           200         200      200    200   200.000000   \n",
+       "unique          200            75          10       88     98          NaN   \n",
+       "top      in america          2003           A  118 min  drama          NaN   \n",
+       "freq              1             6          48        7     23          NaN   \n",
+       "mean            NaN           NaN         NaN      NaN    NaN     7.949500   \n",
+       "std             NaN           NaN         NaN      NaN    NaN     0.290381   \n",
+       "min             NaN           NaN         NaN      NaN    NaN     7.600000   \n",
+       "25%             NaN           NaN         NaN      NaN    NaN     7.700000   \n",
+       "50%             NaN           NaN         NaN      NaN    NaN     7.900000   \n",
+       "75%             NaN           NaN         NaN      NaN    NaN     8.100000   \n",
+       "max             NaN           NaN         NaN      NaN    NaN     9.000000   \n",
+       "\n",
+       "       Meta_score     Director            Star1              Star2  \\\n",
+       "count         200          200              200                200   \n",
+       "unique         49          162              172                192   \n",
+       "top                woody allen  humphrey bogart  robert downey jr.   \n",
+       "freq           30            5                4                  2   \n",
+       "mean          NaN          NaN              NaN                NaN   \n",
+       "std           NaN          NaN              NaN                NaN   \n",
+       "min           NaN          NaN              NaN                NaN   \n",
+       "25%           NaN          NaN              NaN                NaN   \n",
+       "50%           NaN          NaN              NaN                NaN   \n",
+       "75%           NaN          NaN              NaN                NaN   \n",
+       "max           NaN          NaN              NaN                NaN   \n",
+       "\n",
+       "               Star3         Star4   No_of_Votes         Gross  \n",
+       "count            200           200  2.000000e+02  1.600000e+02  \n",
+       "unique           197           198           NaN           NaN  \n",
+       "top     lea thompson  mark ruffalo           NaN           NaN  \n",
+       "freq               2             2           NaN           NaN  \n",
+       "mean             NaN           NaN  2.826230e+05  7.249570e+07  \n",
+       "std              NaN           NaN  3.501372e+05  1.224538e+08  \n",
+       "min              NaN           NaN  2.519800e+04  6.013000e+03  \n",
+       "25%              NaN           NaN  5.038950e+04  3.786699e+06  \n",
+       "50%              NaN           NaN  1.354640e+05  2.325044e+07  \n",
+       "75%              NaN           NaN  3.851505e+05  7.603522e+07  \n",
+       "max              NaN           NaN  2.303232e+06  8.583730e+08  "
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_test.describe(include=\"all\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "id": "blessed-socket",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Series_Title</th>\n",
+       "      <th>Released_Year</th>\n",
+       "      <th>Certificate</th>\n",
+       "      <th>Runtime</th>\n",
+       "      <th>Genre</th>\n",
+       "      <th>IMDB_Rating</th>\n",
+       "      <th>Meta_score</th>\n",
+       "      <th>Director</th>\n",
+       "      <th>Star1</th>\n",
+       "      <th>Star2</th>\n",
+       "      <th>Star3</th>\n",
+       "      <th>Star4</th>\n",
+       "      <th>No_of_Votes</th>\n",
+       "      <th>Gross</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200.000000</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>200</td>\n",
+       "      <td>2.000000e+02</td>\n",
+       "      <td>1.660000e+02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>200</td>\n",
+       "      <td>70</td>\n",
+       "      <td>10</td>\n",
+       "      <td>89</td>\n",
+       "      <td>91</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>47</td>\n",
+       "      <td>162</td>\n",
+       "      <td>176</td>\n",
+       "      <td>191</td>\n",
+       "      <td>195</td>\n",
+       "      <td>199</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>clerks</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>U</td>\n",
+       "      <td>106 min</td>\n",
+       "      <td>drama</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td></td>\n",
+       "      <td>steven spielberg</td>\n",
+       "      <td>toshirô mifune</td>\n",
+       "      <td>ed harris</td>\n",
+       "      <td>frances mcdormand</td>\n",
+       "      <td>lucy liu</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>1</td>\n",
+       "      <td>11</td>\n",
+       "      <td>57</td>\n",
+       "      <td>6</td>\n",
+       "      <td>17</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>39</td>\n",
+       "      <td>6</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.955500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.563293e+05</td>\n",
+       "      <td>6.607024e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.279931</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.208478e+05</td>\n",
+       "      <td>1.035885e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.600000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.593800e+04</td>\n",
+       "      <td>6.460000e+03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.700000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5.946375e+04</td>\n",
+       "      <td>3.392077e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7.900000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.256995e+05</td>\n",
+       "      <td>2.249226e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8.100000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3.365100e+05</td>\n",
+       "      <td>7.597351e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.300000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.343110e+06</td>\n",
+       "      <td>6.085817e+08</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Series_Title Released_Year Certificate  Runtime  Genre  IMDB_Rating  \\\n",
+       "count           200           200         200      200    200   200.000000   \n",
+       "unique          200            70          10       89     91          NaN   \n",
+       "top          clerks          2014           U  106 min  drama          NaN   \n",
+       "freq              1            11          57        6     17          NaN   \n",
+       "mean            NaN           NaN         NaN      NaN    NaN     7.955500   \n",
+       "std             NaN           NaN         NaN      NaN    NaN     0.279931   \n",
+       "min             NaN           NaN         NaN      NaN    NaN     7.600000   \n",
+       "25%             NaN           NaN         NaN      NaN    NaN     7.700000   \n",
+       "50%             NaN           NaN         NaN      NaN    NaN     7.900000   \n",
+       "75%             NaN           NaN         NaN      NaN    NaN     8.100000   \n",
+       "max             NaN           NaN         NaN      NaN    NaN     9.300000   \n",
+       "\n",
+       "       Meta_score          Director           Star1      Star2  \\\n",
+       "count         200               200             200        200   \n",
+       "unique         47               162             176        191   \n",
+       "top                steven spielberg  toshirô mifune  ed harris   \n",
+       "freq           39                 6               4          3   \n",
+       "mean          NaN               NaN             NaN        NaN   \n",
+       "std           NaN               NaN             NaN        NaN   \n",
+       "min           NaN               NaN             NaN        NaN   \n",
+       "25%           NaN               NaN             NaN        NaN   \n",
+       "50%           NaN               NaN             NaN        NaN   \n",
+       "75%           NaN               NaN             NaN        NaN   \n",
+       "max           NaN               NaN             NaN        NaN   \n",
+       "\n",
+       "                    Star3     Star4   No_of_Votes         Gross  \n",
+       "count                 200       200  2.000000e+02  1.660000e+02  \n",
+       "unique                195       199           NaN           NaN  \n",
+       "top     frances mcdormand  lucy liu           NaN           NaN  \n",
+       "freq                    3         2           NaN           NaN  \n",
+       "mean                  NaN       NaN  2.563293e+05  6.607024e+07  \n",
+       "std                   NaN       NaN  3.208478e+05  1.035885e+08  \n",
+       "min                   NaN       NaN  2.593800e+04  6.460000e+03  \n",
+       "25%                   NaN       NaN  5.946375e+04  3.392077e+06  \n",
+       "50%                   NaN       NaN  1.256995e+05  2.249226e+07  \n",
+       "75%                   NaN       NaN  3.365100e+05  7.597351e+07  \n",
+       "max                   NaN       NaN  2.343110e+06  6.085817e+08  "
+      ]
+     },
+     "execution_count": 103,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_dev.describe(include=\"all\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "continuing-chambers",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_test.to_csv(\"crime_test.csv\", encoding=\"utf-8\", index=False)\n",
+    "data_dev.to_csv(\"crime_dev.csv\", encoding=\"utf-8\", index=False)\n",
+    "crime_train.to_csv(\"crime_train.csv\", encoding=\"utf-8\", index=False)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}