internship.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a11ade4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# task 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7f646587",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "ec6a27d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "f6d892b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "f77c8a95",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import accuracy_score,confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "325f61bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"Iris.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "4094c182",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>SepalLengthCm</th>\n",
       "      <th>SepalWidthCm</th>\n",
       "      <th>PetalLengthCm</th>\n",
       "      <th>PetalWidthCm</th>\n",
       "      <th>Species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm      Species\n",
       "0   1            5.1           3.5            1.4           0.2  Iris-setosa\n",
       "1   2            4.9           3.0            1.4           0.2  Iris-setosa\n",
       "2   3            4.7           3.2            1.3           0.2  Iris-setosa\n",
       "3   4            4.6           3.1            1.5           0.2  Iris-setosa\n",
       "4   5            5.0           3.6            1.4           0.2  Iris-setosa"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "dbb1d1e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 150 entries, 0 to 149\n",
      "Data columns (total 6 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   Id             150 non-null    int64  \n",
      " 1   SepalLengthCm  150 non-null    float64\n",
      " 2   SepalWidthCm   150 non-null    float64\n",
      " 3   PetalLengthCm  150 non-null    float64\n",
      " 4   PetalWidthCm   150 non-null    float64\n",
      " 5   Species        150 non-null    object \n",
      "dtypes: float64(4), int64(1), object(1)\n",
      "memory usage: 7.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "f046e105",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df.drop(columns=\"Id\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "18174eb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SepalLengthCm    0\n",
       "SepalWidthCm     0\n",
       "PetalLengthCm    0\n",
       "PetalWidthCm     0\n",
       "Species          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cleaning the dataset\n",
    "# If there are any missing values, then modify them before using the dataset.\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "17893595",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['SepalLengthCm', 'SepalWidthCm', 'PetalLengthCm', 'PetalWidthCm',\n",
       "       'Species'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "20e136fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = df.iloc[:,:4]\n",
    "y = df.iloc[:,4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "0ca66099",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>SepalLengthCm</th>\n",
       "      <th>SepalWidthCm</th>\n",
       "      <th>PetalLengthCm</th>\n",
       "      <th>PetalWidthCm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     SepalLengthCm  SepalWidthCm  PetalLengthCm  PetalWidthCm\n",
       "0              5.1           3.5            1.4           0.2\n",
       "1              4.9           3.0            1.4           0.2\n",
       "2              4.7           3.2            1.3           0.2\n",
       "3              4.6           3.1            1.5           0.2\n",
       "4              5.0           3.6            1.4           0.2\n",
       "..             ...           ...            ...           ...\n",
       "145            6.7           3.0            5.2           2.3\n",
       "146            6.3           2.5            5.0           1.9\n",
       "147            6.5           3.0            5.2           2.0\n",
       "148            6.2           3.4            5.4           2.3\n",
       "149            5.9           3.0            5.1           1.8\n",
       "\n",
       "[150 rows x 4 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "36251ca0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         Iris-setosa\n",
       "1         Iris-setosa\n",
       "2         Iris-setosa\n",
       "3         Iris-setosa\n",
       "4         Iris-setosa\n",
       "            ...      \n",
       "145    Iris-virginica\n",
       "146    Iris-virginica\n",
       "147    Iris-virginica\n",
       "148    Iris-virginica\n",
       "149    Iris-virginica\n",
       "Name: Species, Length: 150, dtype: object"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "3b298a6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "'''To train the model and next test the model we have to split the entire dataset into train and test sets. \n",
    "The training dataset -> train the model and \n",
    "the test dataset -> test the model which has been trained with the training dataset.'''\n",
    "\n",
    "x_train,x_test,y_train,y_test = train_test_split(x,y,random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "1cc29d54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(112, 4)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "3cab0618",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(38, 4)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "be75cc22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(112,)"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "182b9d8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(38,)"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "5f773b4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# instantiation for logistic regre...\n",
    "\n",
    "model = LogisticRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "c7381710",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegression()"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "1b0a126e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Iris-virginica' 'Iris-versicolor' 'Iris-setosa' 'Iris-virginica'\n",
      " 'Iris-setosa' 'Iris-virginica' 'Iris-setosa' 'Iris-versicolor'\n",
      " 'Iris-versicolor' 'Iris-versicolor' 'Iris-virginica' 'Iris-versicolor'\n",
      " 'Iris-versicolor' 'Iris-versicolor' 'Iris-versicolor' 'Iris-setosa'\n",
      " 'Iris-versicolor' 'Iris-versicolor' 'Iris-setosa' 'Iris-setosa'\n",
      " 'Iris-virginica' 'Iris-versicolor' 'Iris-setosa' 'Iris-setosa'\n",
      " 'Iris-virginica' 'Iris-setosa' 'Iris-setosa' 'Iris-versicolor'\n",
      " 'Iris-versicolor' 'Iris-setosa' 'Iris-virginica' 'Iris-versicolor'\n",
      " 'Iris-setosa' 'Iris-virginica' 'Iris-virginica' 'Iris-versicolor'\n",
      " 'Iris-setosa' 'Iris-virginica']\n"
     ]
    }
   ],
   "source": [
    "# main prediction phase\n",
    "\n",
    "y_pred = model.predict(x_test)\n",
    "print(y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "1ef48cde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[13,  0,  0],\n",
       "       [ 0, 15,  1],\n",
       "       [ 0,  0,  9]], dtype=int64)"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "confusion_matrix(y_test,y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "07247a0f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy of the model is  97.36842105263158\n"
     ]
    }
   ],
   "source": [
    "accuracy = accuracy_score(y_test,y_pred)*100\n",
    "print(\"Accuracy of the model is \",accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "719375ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "# task 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "524faabc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           Region         Date  Frequency   Estimated Unemployment Rate (%)  \\\n",
      "0  Andhra Pradesh   31-05-2019    Monthly                              3.65   \n",
      "1  Andhra Pradesh   30-06-2019    Monthly                              3.05   \n",
      "2  Andhra Pradesh   31-07-2019    Monthly                              3.75   \n",
      "3  Andhra Pradesh   31-08-2019    Monthly                              3.32   \n",
      "4  Andhra Pradesh   30-09-2019    Monthly                              5.17   \n",
      "\n",
      "    Estimated Employed   Estimated Labour Participation Rate (%)   Area  \n",
      "0             11999139                                     43.24  Rural  \n",
      "1             11755881                                     42.05  Rural  \n",
      "2             12086707                                     43.50  Rural  \n",
      "3             12285693                                     43.97  Rural  \n",
      "4             12256762                                     44.68  Rural  \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import plotly.express as px\n",
    "data = pd.read_csv(\"unemployment.csv\")\n",
    "print(data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6161111d",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.columns= [\"Region\",\"Date\",\"Frequency\",\n",
    "               \"Estimated Unemployment Rate (%)\",\n",
    "               \"Estimated Employed\",\n",
    "               \"Estimated Labour Participation Rate (%)\",\n",
    "               \"Area\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4728834a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('seaborn-whitegrid')\n",
    "plt.figure(figsize=(12, 10))\n",
    "sns.heatmap(data.corr())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "7384be0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 10))\n",
    "plt.title(\"Indian Unemployment\")\n",
    "sns.histplot(x=\"Estimated Employed\", hue=\"Region\", data=data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "dae7f5bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 10))\n",
    "plt.title(\"Indian Unemployment\")\n",
    "sns.histplot(x=\"Estimated Employed\", hue=\"Area\", data=data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "67259358",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "branchvalues": "total",
         "domain": {
          "x": [
           0,
           1
          ],
          "y": [
           0,
           1
          ]
         },
         "hovertemplate": "labels=%{label}<br>Estimated Unemployment Rate (%)=%{value}<br>parent=%{parent}<br>id=%{id}<extra></extra>",
         "ids": [
          "Andhra Pradesh/Rural",
          "Assam/Rural",
          "Bihar/Rural",
          "Chhattisgarh/Rural",
          "Delhi/Rural",
          "Goa/Rural",
          "Gujarat/Rural",
          "Haryana/Rural",
          "Himachal Pradesh/Rural",
          "Jammu & Kashmir/Rural",
          "Jharkhand/Rural",
          "Karnataka/Rural",
          "Kerala/Rural",
          "Madhya Pradesh/Rural",
          "Maharashtra/Rural",
          "Meghalaya/Rural",
          "Odisha/Rural",
          "Puducherry/Rural",
          "Punjab/Rural",
          "Rajasthan/Rural",
          "Sikkim/Rural",
          "Tamil Nadu/Rural",
          "Telangana/Rural",
          "Tripura/Rural",
          "Uttar Pradesh/Rural",
          "Uttarakhand/Rural",
          "West Bengal/Rural",
          "Andhra Pradesh/Urban",
          "Assam/Urban",
          "Bihar/Urban",
          "Chandigarh/Urban",
          "Chhattisgarh/Urban",
          "Delhi/Urban",
          "Goa/Urban",
          "Gujarat/Urban",
          "Haryana/Urban",
          "Himachal Pradesh/Urban",
          "Jammu & Kashmir/Urban",
          "Jharkhand/Urban",
          "Karnataka/Urban",
          "Kerala/Urban",
          "Madhya Pradesh/Urban",
          "Maharashtra/Urban",
          "Meghalaya/Urban",
          "Odisha/Urban",
          "Puducherry/Urban",
          "Punjab/Urban",
          "Rajasthan/Urban",
          "Sikkim/Urban",
          "Tamil Nadu/Urban",
          "Telangana/Urban",
          "Tripura/Urban",
          "Uttar Pradesh/Urban",
          "Uttarakhand/Urban",
          "West Bengal/Urban",
          "Andhra Pradesh",
          "Assam",
          "Bihar",
          "Chandigarh",
          "Chhattisgarh",
          "Delhi",
          "Goa",
          "Gujarat",
          "Haryana",
          "Himachal Pradesh",
          "Jammu & Kashmir",
          "Jharkhand",
          "Karnataka",
          "Kerala",
          "Madhya Pradesh",
          "Maharashtra",
          "Meghalaya",
          "Odisha",
          "Puducherry",
          "Punjab",
          "Rajasthan",
          "Sikkim",
          "Tamil Nadu",
          "Telangana",
          "Tripura",
          "Uttar Pradesh",
          "Uttarakhand",
          "West Bengal"
         ],
         "labels": [
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Rural",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Urban",
          "Andhra Pradesh",
          "Assam",
          "Bihar",
          "Chandigarh",
          "Chhattisgarh",
          "Delhi",
          "Goa",
          "Gujarat",
          "Haryana",
          "Himachal Pradesh",
          "Jammu & Kashmir",
          "Jharkhand",
          "Karnataka",
          "Kerala",
          "Madhya Pradesh",
          "Maharashtra",
          "Meghalaya",
          "Odisha",
          "Puducherry",
          "Punjab",
          "Rajasthan",
          "Sikkim",
          "Tamil Nadu",
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure = px.sunburst(data, path=[\"Region\", \"Area\"], values='Estimated Unemployment Rate (%)',\n",
    "                    width=700, height=700, color_continuous_scale=\"RdY1Gn\", title=\"Unemployment Rate in India\")\n",
    "figure.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8a8b3804",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Task-> 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b8015303",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.metrics import mean_absolute_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8dd9cf40",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>car_ID</th>\n",
       "      <th>symboling</th>\n",
       "      <th>CarName</th>\n",
       "      <th>fueltype</th>\n",
       "      <th>aspiration</th>\n",
       "      <th>doornumber</th>\n",
       "      <th>carbody</th>\n",
       "      <th>drivewheel</th>\n",
       "      <th>enginelocation</th>\n",
       "      <th>wheelbase</th>\n",
       "      <th>...</th>\n",
       "      <th>enginesize</th>\n",
       "      <th>fuelsystem</th>\n",
       "      <th>boreratio</th>\n",
       "      <th>stroke</th>\n",
       "      <th>compressionratio</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>peakrpm</th>\n",
       "      <th>citympg</th>\n",
       "      <th>highwaympg</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>alfa-romero giulia</td>\n",
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       "      <td>two</td>\n",
       "      <td>convertible</td>\n",
       "      <td>rwd</td>\n",
       "      <td>front</td>\n",
       "      <td>88.6</td>\n",
       "      <td>...</td>\n",
       "      <td>130</td>\n",
       "      <td>mpfi</td>\n",
       "      <td>3.47</td>\n",
       "      <td>2.68</td>\n",
       "      <td>9.0</td>\n",
       "      <td>111</td>\n",
       "      <td>5000</td>\n",
       "      <td>21</td>\n",
       "      <td>27</td>\n",
       "      <td>13495.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>alfa-romero stelvio</td>\n",
       "      <td>gas</td>\n",
       "      <td>std</td>\n",
       "      <td>two</td>\n",
       "      <td>convertible</td>\n",
       "      <td>rwd</td>\n",
       "      <td>front</td>\n",
       "      <td>88.6</td>\n",
       "      <td>...</td>\n",
       "      <td>130</td>\n",
       "      <td>mpfi</td>\n",
       "      <td>3.47</td>\n",
       "      <td>2.68</td>\n",
       "      <td>9.0</td>\n",
       "      <td>111</td>\n",
       "      <td>5000</td>\n",
       "      <td>21</td>\n",
       "      <td>27</td>\n",
       "      <td>16500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>alfa-romero Quadrifoglio</td>\n",
       "      <td>gas</td>\n",
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       "      <td>two</td>\n",
       "      <td>hatchback</td>\n",
       "      <td>rwd</td>\n",
       "      <td>front</td>\n",
       "      <td>94.5</td>\n",
       "      <td>...</td>\n",
       "      <td>152</td>\n",
       "      <td>mpfi</td>\n",
       "      <td>2.68</td>\n",
       "      <td>3.47</td>\n",
       "      <td>9.0</td>\n",
       "      <td>154</td>\n",
       "      <td>5000</td>\n",
       "      <td>19</td>\n",
       "      <td>26</td>\n",
       "      <td>16500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>audi 100 ls</td>\n",
       "      <td>gas</td>\n",
       "      <td>std</td>\n",
       "      <td>four</td>\n",
       "      <td>sedan</td>\n",
       "      <td>fwd</td>\n",
       "      <td>front</td>\n",
       "      <td>99.8</td>\n",
       "      <td>...</td>\n",
       "      <td>109</td>\n",
       "      <td>mpfi</td>\n",
       "      <td>3.19</td>\n",
       "      <td>3.40</td>\n",
       "      <td>10.0</td>\n",
       "      <td>102</td>\n",
       "      <td>5500</td>\n",
       "      <td>24</td>\n",
       "      <td>30</td>\n",
       "      <td>13950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>audi 100ls</td>\n",
       "      <td>gas</td>\n",
       "      <td>std</td>\n",
       "      <td>four</td>\n",
       "      <td>sedan</td>\n",
       "      <td>4wd</td>\n",
       "      <td>front</td>\n",
       "      <td>99.4</td>\n",
       "      <td>...</td>\n",
       "      <td>136</td>\n",
       "      <td>mpfi</td>\n",
       "      <td>3.19</td>\n",
       "      <td>3.40</td>\n",
       "      <td>8.0</td>\n",
       "      <td>115</td>\n",
       "      <td>5500</td>\n",
       "      <td>18</td>\n",
       "      <td>22</td>\n",
       "      <td>17450.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   car_ID  symboling                   CarName fueltype aspiration doornumber  \\\n",
       "0       1          3        alfa-romero giulia      gas        std        two   \n",
       "1       2          3       alfa-romero stelvio      gas        std        two   \n",
       "2       3          1  alfa-romero Quadrifoglio      gas        std        two   \n",
       "3       4          2               audi 100 ls      gas        std       four   \n",
       "4       5          2                audi 100ls      gas        std       four   \n",
       "\n",
       "       carbody drivewheel enginelocation  wheelbase  ...  enginesize  \\\n",
       "0  convertible        rwd          front       88.6  ...         130   \n",
       "1  convertible        rwd          front       88.6  ...         130   \n",
       "2    hatchback        rwd          front       94.5  ...         152   \n",
       "3        sedan        fwd          front       99.8  ...         109   \n",
       "4        sedan        4wd          front       99.4  ...         136   \n",
       "\n",
       "   fuelsystem  boreratio  stroke compressionratio horsepower  peakrpm citympg  \\\n",
       "0        mpfi       3.47    2.68              9.0        111     5000      21   \n",
       "1        mpfi       3.47    2.68              9.0        111     5000      21   \n",
       "2        mpfi       2.68    3.47              9.0        154     5000      19   \n",
       "3        mpfi       3.19    3.40             10.0        102     5500      24   \n",
       "4        mpfi       3.19    3.40              8.0        115     5500      18   \n",
       "\n",
       "   highwaympg    price  \n",
       "0          27  13495.0  \n",
       "1          27  16500.0  \n",
       "2          26  16500.0  \n",
       "3          30  13950.0  \n",
       "4          22  17450.0  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"cars.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0799f30e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "car_ID              0\n",
       "symboling           0\n",
       "CarName             0\n",
       "fueltype            0\n",
       "aspiration          0\n",
       "doornumber          0\n",
       "carbody             0\n",
       "drivewheel          0\n",
       "enginelocation      0\n",
       "wheelbase           0\n",
       "carlength           0\n",
       "carwidth            0\n",
       "carheight           0\n",
       "curbweight          0\n",
       "enginetype          0\n",
       "cylindernumber      0\n",
       "enginesize          0\n",
       "fuelsystem          0\n",
       "boreratio           0\n",
       "stroke              0\n",
       "compressionratio    0\n",
       "horsepower          0\n",
       "peakrpm             0\n",
       "citympg             0\n",
       "highwaympg          0\n",
       "price               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data cleaning & checking\n",
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "72e4a124",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 205 entries, 0 to 204\n",
      "Data columns (total 26 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   car_ID            205 non-null    int64  \n",
      " 1   symboling         205 non-null    int64  \n",
      " 2   CarName           205 non-null    object \n",
      " 3   fueltype          205 non-null    object \n",
      " 4   aspiration        205 non-null    object \n",
      " 5   doornumber        205 non-null    object \n",
      " 6   carbody           205 non-null    object \n",
      " 7   drivewheel        205 non-null    object \n",
      " 8   enginelocation    205 non-null    object \n",
      " 9   wheelbase         205 non-null    float64\n",
      " 10  carlength         205 non-null    float64\n",
      " 11  carwidth          205 non-null    float64\n",
      " 12  carheight         205 non-null    float64\n",
      " 13  curbweight        205 non-null    int64  \n",
      " 14  enginetype        205 non-null    object \n",
      " 15  cylindernumber    205 non-null    object \n",
      " 16  enginesize        205 non-null    int64  \n",
      " 17  fuelsystem        205 non-null    object \n",
      " 18  boreratio         205 non-null    float64\n",
      " 19  stroke            205 non-null    float64\n",
      " 20  compressionratio  205 non-null    float64\n",
      " 21  horsepower        205 non-null    int64  \n",
      " 22  peakrpm           205 non-null    int64  \n",
      " 23  citympg           205 non-null    int64  \n",
      " 24  highwaympg        205 non-null    int64  \n",
      " 25  price             205 non-null    float64\n",
      "dtypes: float64(8), int64(8), object(10)\n",
      "memory usage: 41.8+ KB\n"
     ]
    }
   ],
   "source": [
    "# more info about the datasets\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b64cb4ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "           car_ID   symboling   wheelbase   carlength    carwidth   carheight  \\\n",
      "count  205.000000  205.000000  205.000000  205.000000  205.000000  205.000000   \n",
      "mean   103.000000    0.834146   98.756585  174.049268   65.907805   53.724878   \n",
      "std     59.322565    1.245307    6.021776   12.337289    2.145204    2.443522   \n",
      "min      1.000000   -2.000000   86.600000  141.100000   60.300000   47.800000   \n",
      "25%     52.000000    0.000000   94.500000  166.300000   64.100000   52.000000   \n",
      "50%    103.000000    1.000000   97.000000  173.200000   65.500000   54.100000   \n",
      "75%    154.000000    2.000000  102.400000  183.100000   66.900000   55.500000   \n",
      "max    205.000000    3.000000  120.900000  208.100000   72.300000   59.800000   \n",
      "\n",
      "        curbweight  enginesize   boreratio      stroke  compressionratio  \\\n",
      "count   205.000000  205.000000  205.000000  205.000000        205.000000   \n",
      "mean   2555.565854  126.907317    3.329756    3.255415         10.142537   \n",
      "std     520.680204   41.642693    0.270844    0.313597          3.972040   \n",
      "min    1488.000000   61.000000    2.540000    2.070000          7.000000   \n",
      "25%    2145.000000   97.000000    3.150000    3.110000          8.600000   \n",
      "50%    2414.000000  120.000000    3.310000    3.290000          9.000000   \n",
      "75%    2935.000000  141.000000    3.580000    3.410000          9.400000   \n",
      "max    4066.000000  326.000000    3.940000    4.170000         23.000000   \n",
      "\n",
      "       horsepower      peakrpm     citympg  highwaympg         price  \n",
      "count  205.000000   205.000000  205.000000  205.000000    205.000000  \n",
      "mean   104.117073  5125.121951   25.219512   30.751220  13276.710571  \n",
      "std     39.544167   476.985643    6.542142    6.886443   7988.852332  \n",
      "min     48.000000  4150.000000   13.000000   16.000000   5118.000000  \n",
      "25%     70.000000  4800.000000   19.000000   25.000000   7788.000000  \n",
      "50%     95.000000  5200.000000   24.000000   30.000000  10295.000000  \n",
      "75%    116.000000  5500.000000   30.000000   34.000000  16503.000000  \n",
      "max    288.000000  6600.000000   49.000000   54.000000  45400.000000  \n"
     ]
    }
   ],
   "source": [
    "print(data.describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cd9d2f71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['alfa-romero giulia', 'alfa-romero stelvio',\n",
       "       'alfa-romero Quadrifoglio', 'audi 100 ls', 'audi 100ls',\n",
       "       'audi fox', 'audi 5000', 'audi 4000', 'audi 5000s (diesel)',\n",
       "       'bmw 320i', 'bmw x1', 'bmw x3', 'bmw z4', 'bmw x4', 'bmw x5',\n",
       "       'chevrolet impala', 'chevrolet monte carlo', 'chevrolet vega 2300',\n",
       "       'dodge rampage', 'dodge challenger se', 'dodge d200',\n",
       "       'dodge monaco (sw)', 'dodge colt hardtop', 'dodge colt (sw)',\n",
       "       'dodge coronet custom', 'dodge dart custom',\n",
       "       'dodge coronet custom (sw)', 'honda civic', 'honda civic cvcc',\n",
       "       'honda accord cvcc', 'honda accord lx', 'honda civic 1500 gl',\n",
       "       'honda accord', 'honda civic 1300', 'honda prelude',\n",
       "       'honda civic (auto)', 'isuzu MU-X', 'isuzu D-Max ',\n",
       "       'isuzu D-Max V-Cross', 'jaguar xj', 'jaguar xf', 'jaguar xk',\n",
       "       'maxda rx3', 'maxda glc deluxe', 'mazda rx2 coupe', 'mazda rx-4',\n",
       "       'mazda glc deluxe', 'mazda 626', 'mazda glc', 'mazda rx-7 gs',\n",
       "       'mazda glc 4', 'mazda glc custom l', 'mazda glc custom',\n",
       "       'buick electra 225 custom', 'buick century luxus (sw)',\n",
       "       'buick century', 'buick skyhawk', 'buick opel isuzu deluxe',\n",
       "       'buick skylark', 'buick century special',\n",
       "       'buick regal sport coupe (turbo)', 'mercury cougar',\n",
       "       'mitsubishi mirage', 'mitsubishi lancer', 'mitsubishi outlander',\n",
       "       'mitsubishi g4', 'mitsubishi mirage g4', 'mitsubishi montero',\n",
       "       'mitsubishi pajero', 'Nissan versa', 'nissan gt-r', 'nissan rogue',\n",
       "       'nissan latio', 'nissan titan', 'nissan leaf', 'nissan juke',\n",
       "       'nissan note', 'nissan clipper', 'nissan nv200', 'nissan dayz',\n",
       "       'nissan fuga', 'nissan otti', 'nissan teana', 'nissan kicks',\n",
       "       'peugeot 504', 'peugeot 304', 'peugeot 504 (sw)', 'peugeot 604sl',\n",
       "       'peugeot 505s turbo diesel', 'plymouth fury iii',\n",
       "       'plymouth cricket', 'plymouth satellite custom (sw)',\n",
       "       'plymouth fury gran sedan', 'plymouth valiant', 'plymouth duster',\n",
       "       'porsche macan', 'porcshce panamera', 'porsche cayenne',\n",
       "       'porsche boxter', 'renault 12tl', 'renault 5 gtl', 'saab 99e',\n",
       "       'saab 99le', 'saab 99gle', 'subaru', 'subaru dl', 'subaru brz',\n",
       "       'subaru baja', 'subaru r1', 'subaru r2', 'subaru trezia',\n",
       "       'subaru tribeca', 'toyota corona mark ii', 'toyota corona',\n",
       "       'toyota corolla 1200', 'toyota corona hardtop',\n",
       "       'toyota corolla 1600 (sw)', 'toyota carina', 'toyota mark ii',\n",
       "       'toyota corolla', 'toyota corolla liftback',\n",
       "       'toyota celica gt liftback', 'toyota corolla tercel',\n",
       "       'toyota corona liftback', 'toyota starlet', 'toyota tercel',\n",
       "       'toyota cressida', 'toyota celica gt', 'toyouta tercel',\n",
       "       'vokswagen rabbit', 'volkswagen 1131 deluxe sedan',\n",
       "       'volkswagen model 111', 'volkswagen type 3', 'volkswagen 411 (sw)',\n",
       "       'volkswagen super beetle', 'volkswagen dasher', 'vw dasher',\n",
       "       'vw rabbit', 'volkswagen rabbit', 'volkswagen rabbit custom',\n",
       "       'volvo 145e (sw)', 'volvo 144ea', 'volvo 244dl', 'volvo 245',\n",
       "       'volvo 264gl', 'volvo diesel', 'volvo 246'], dtype=object)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.CarName.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2a8bdfb7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\arnab\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\ipykernel_launcher.py:3: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1700x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\")\n",
    "plt.figure(figsize=(17, 10))\n",
    "sns.distplot(data.price)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ab6c8eb9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    car_ID  symboling  wheelbase  carlength  carwidth  \\\n",
      "car_ID            1.000000  -0.151621   0.129729   0.170636  0.052387   \n",
      "symboling        -0.151621   1.000000  -0.531954  -0.357612 -0.232919   \n",
      "wheelbase         0.129729  -0.531954   1.000000   0.874587  0.795144   \n",
      "carlength         0.170636  -0.357612   0.874587   1.000000  0.841118   \n",
      "carwidth          0.052387  -0.232919   0.795144   0.841118  1.000000   \n",
      "carheight         0.255960  -0.541038   0.589435   0.491029  0.279210   \n",
      "curbweight        0.071962  -0.227691   0.776386   0.877728  0.867032   \n",
      "enginesize       -0.033930  -0.105790   0.569329   0.683360  0.735433   \n",
      "boreratio         0.260064  -0.130051   0.488750   0.606454  0.559150   \n",
      "stroke           -0.160824  -0.008735   0.160959   0.129533  0.182942   \n",
      "compressionratio  0.150276  -0.178515   0.249786   0.158414  0.181129   \n",
      "horsepower       -0.015006   0.070873   0.353294   0.552623  0.640732   \n",
      "peakrpm          -0.203789   0.273606  -0.360469  -0.287242 -0.220012   \n",
      "citympg           0.015940  -0.035823  -0.470414  -0.670909 -0.642704   \n",
      "highwaympg        0.011255   0.034606  -0.544082  -0.704662 -0.677218   \n",
      "price            -0.109093  -0.079978   0.577816   0.682920  0.759325   \n",
      "\n",
      "                  carheight  curbweight  enginesize  boreratio    stroke  \\\n",
      "car_ID             0.255960    0.071962   -0.033930   0.260064 -0.160824   \n",
      "symboling         -0.541038   -0.227691   -0.105790  -0.130051 -0.008735   \n",
      "wheelbase          0.589435    0.776386    0.569329   0.488750  0.160959   \n",
      "carlength          0.491029    0.877728    0.683360   0.606454  0.129533   \n",
      "carwidth           0.279210    0.867032    0.735433   0.559150  0.182942   \n",
      "carheight          1.000000    0.295572    0.067149   0.171071 -0.055307   \n",
      "curbweight         0.295572    1.000000    0.850594   0.648480  0.168790   \n",
      "enginesize         0.067149    0.850594    1.000000   0.583774  0.203129   \n",
      "boreratio          0.171071    0.648480    0.583774   1.000000 -0.055909   \n",
      "stroke            -0.055307    0.168790    0.203129  -0.055909  1.000000   \n",
      "compressionratio   0.261214    0.151362    0.028971   0.005197  0.186110   \n",
      "horsepower        -0.108802    0.750739    0.809769   0.573677  0.080940   \n",
      "peakrpm           -0.320411   -0.266243   -0.244660  -0.254976 -0.067964   \n",
      "citympg           -0.048640   -0.757414   -0.653658  -0.584532 -0.042145   \n",
      "highwaympg        -0.107358   -0.797465   -0.677470  -0.587012 -0.043931   \n",
      "price              0.119336    0.835305    0.874145   0.553173  0.079443   \n",
      "\n",
      "                  compressionratio  horsepower   peakrpm   citympg  \\\n",
      "car_ID                    0.150276   -0.015006 -0.203789  0.015940   \n",
      "symboling                -0.178515    0.070873  0.273606 -0.035823   \n",
      "wheelbase                 0.249786    0.353294 -0.360469 -0.470414   \n",
      "carlength                 0.158414    0.552623 -0.287242 -0.670909   \n",
      "carwidth                  0.181129    0.640732 -0.220012 -0.642704   \n",
      "carheight                 0.261214   -0.108802 -0.320411 -0.048640   \n",
      "curbweight                0.151362    0.750739 -0.266243 -0.757414   \n",
      "enginesize                0.028971    0.809769 -0.244660 -0.653658   \n",
      "boreratio                 0.005197    0.573677 -0.254976 -0.584532   \n",
      "stroke                    0.186110    0.080940 -0.067964 -0.042145   \n",
      "compressionratio          1.000000   -0.204326 -0.435741  0.324701   \n",
      "horsepower               -0.204326    1.000000  0.131073 -0.801456   \n",
      "peakrpm                  -0.435741    0.131073  1.000000 -0.113544   \n",
      "citympg                   0.324701   -0.801456 -0.113544  1.000000   \n",
      "highwaympg                0.265201   -0.770544 -0.054275  0.971337   \n",
      "price                     0.067984    0.808139 -0.085267 -0.685751   \n",
      "\n",
      "                  highwaympg     price  \n",
      "car_ID              0.011255 -0.109093  \n",
      "symboling           0.034606 -0.079978  \n",
      "wheelbase          -0.544082  0.577816  \n",
      "carlength          -0.704662  0.682920  \n",
      "carwidth           -0.677218  0.759325  \n",
      "carheight          -0.107358  0.119336  \n",
      "curbweight         -0.797465  0.835305  \n",
      "enginesize         -0.677470  0.874145  \n",
      "boreratio          -0.587012  0.553173  \n",
      "stroke             -0.043931  0.079443  \n",
      "compressionratio    0.265201  0.067984  \n",
      "horsepower         -0.770544  0.808139  \n",
      "peakrpm            -0.054275 -0.085267  \n",
      "citympg             0.971337 -0.685751  \n",
      "highwaympg          1.000000 -0.697599  \n",
      "price              -0.697599  1.000000  \n"
     ]
    }
   ],
   "source": [
    "# finding the co-relation between the attributes\n",
    "print(data.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bbccd3bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x2000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 20))\n",
    "correlations = data.corr()\n",
    "sns.heatmap(correlations, annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fc67af37",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\arnab\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\ipykernel_launcher.py:8: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# model gives 100% accuracy.\n",
    "predict = \"price\"\n",
    "data = data[[\"symboling\", \"wheelbase\", \"carlength\", \n",
    "             \"carwidth\", \"carheight\", \"curbweight\", \n",
    "             \"enginesize\", \"boreratio\", \"stroke\", \n",
    "             \"compressionratio\", \"horsepower\", \"peakrpm\", \n",
    "             \"citympg\", \"highwaympg\", \"price\"]]\n",
    "x = np.array(data.drop([predict], 1))\n",
    "y = np.array(data[predict])\n",
    "xtrain, xtest, ytrain, ytest = train_test_split(x, y, test_size=0.2)\n",
    "model = DecisionTreeRegressor()\n",
    "model.fit(xtrain, ytrain)\n",
    "predictions = model.predict(xtest)\n",
    "model.score(xtest, predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "72aac6dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# task ->4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3ba892b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from sklearn import svm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bd9dd7d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "spam = pd.read_csv('spam.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6826ee6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "z = spam['v2']\n",
    "y = spam[\"v1\"]\n",
    "z_train, z_test,y_train, y_test = train_test_split(z,y,test_size = 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "19fe88c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "cv = CountVectorizer()\n",
    "features = cv.fit_transform(z_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cccc6abd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVC()"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = svm.SVC()\n",
    "model.fit(features,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4dd4f896",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.9811659192825112\n"
     ]
    }
   ],
   "source": [
    "features_test = cv.transform(z_test)\n",
    "print(\"Accuracy: {}\".format(model.score(features_test,y_test)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2365b6c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# task ->5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ab60652d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LinearRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0268c54c",
   "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>s.no</th>\n",
       "      <th>tv</th>\n",
       "      <th>radio</th>\n",
       "      <th>newspaper</th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>230.1</td>\n",
       "      <td>37.8</td>\n",
       "      <td>69.2</td>\n",
       "      <td>22.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>44.5</td>\n",
       "      <td>39.3</td>\n",
       "      <td>45.1</td>\n",
       "      <td>10.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>17.2</td>\n",
       "      <td>45.9</td>\n",
       "      <td>69.3</td>\n",
       "      <td>9.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>151.5</td>\n",
       "      <td>41.3</td>\n",
       "      <td>58.5</td>\n",
       "      <td>18.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>180.8</td>\n",
       "      <td>10.8</td>\n",
       "      <td>58.4</td>\n",
       "      <td>12.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   s.no     tv  radio  newspaper  sales\n",
       "0     1  230.1   37.8       69.2   22.1\n",
       "1     2   44.5   39.3       45.1   10.4\n",
       "2     3   17.2   45.9       69.3    9.3\n",
       "3     4  151.5   41.3       58.5   18.5\n",
       "4     5  180.8   10.8       58.4   12.9"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"advertising.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b6700290",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "s.no         0\n",
      "tv           0\n",
      "radio        0\n",
      "newspaper    0\n",
      "sales        0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# data cleaning\n",
    "print(data.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "df1ad2d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('seaborn-whitegrid')\n",
    "plt.figure(figsize=(12, 10))\n",
    "sns.heatmap(data.corr())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5ca3bf98",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\arnab\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\ipykernel_launcher.py:1: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "x = np.array(data.drop([\"sales\"], 1))\n",
    "y = np.array(data[\"sales\"])\n",
    "xtrain, xtest, ytrain, ytest = train_test_split(x, y, test_size=0.2, random_state=42)\n",
    "model = LinearRegression()\n",
    "model.fit(xtrain, ytrain)\n",
    "ypred = model.predict(xtest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ffe25986",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Predicted Sales\n",
      "0         16.412277\n",
      "1         20.843193\n",
      "2         21.511869\n",
      "3         10.653100\n",
      "4         22.124058\n",
      "5         13.123835\n",
      "6         21.037489\n",
      "7          7.503854\n",
      "8         13.647870\n",
      "9         15.120409\n",
      "10         9.020556\n",
      "11         6.706666\n",
      "12        14.401551\n",
      "13         8.886090\n",
      "14         9.743533\n",
      "15        12.215520\n",
      "16         8.713709\n",
      "17        16.294145\n",
      "18        10.268023\n",
      "19        18.804982\n",
      "20        19.588647\n",
      "21        13.223183\n",
      "22        12.364787\n",
      "23        21.314736\n",
      "24         7.797347\n",
      "25         5.781900\n",
      "26        20.749348\n",
      "27        11.954767\n",
      "28         9.199109\n",
      "29         8.521787\n",
      "30        12.404313\n",
      "31         9.948652\n",
      "32        21.368803\n",
      "33        12.253748\n",
      "34        18.299435\n",
      "35        20.133474\n",
      "36        14.074646\n",
      "37        20.885947\n",
      "38        11.052150\n",
      "39         4.551687\n"
     ]
    }
   ],
   "source": [
    "data = pd.DataFrame(data={\"Predicted Sales\": ypred.flatten()})\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "85f41a9e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}