salary-prediction.ipynb

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     "text": [
      "/kaggle/input/salary-prediction-simple-linear-regression/SalaryPrediction.csv\n"
     ]
    }
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   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load\n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "\n",
    "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
   ]
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   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "plt.rcParams['figure.figsize']=[10,5]"
   ]
  },
  {
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   "id": "54922250",
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    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Experience Years</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.1</td>\n",
       "      <td>39343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.2</td>\n",
       "      <td>42774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.3</td>\n",
       "      <td>46205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.5</td>\n",
       "      <td>37731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.0</td>\n",
       "      <td>43525</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Experience Years  Salary\n",
       "0               1.1   39343\n",
       "1               1.2   42774\n",
       "2               1.3   46205\n",
       "3               1.5   37731\n",
       "4               2.0   43525"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv('/kaggle/input/salary-prediction-simple-linear-regression/SalaryPrediction.csv')\n",
    "df.head()"
   ]
  },
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "(40, 2)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 40 entries, 0 to 39\n",
      "Data columns (total 2 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   Experience Years  40 non-null     float64\n",
      " 1   Salary            40 non-null     int64  \n",
      "dtypes: float64(1), int64(1)\n",
      "memory usage: 768.0 bytes\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(df['Experience Years'])\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3e6d006b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:36.998099Z",
     "iopub.status.busy": "2024-01-12T05:48:36.997704Z",
     "iopub.status.idle": "2024-01-12T05:48:37.353632Z",
     "shell.execute_reply": "2024-01-12T05:48:37.352741Z"
    },
    "papermill": {
     "duration": 0.369386,
     "end_time": "2024-01-12T05:48:37.355954",
     "exception": false,
     "start_time": "2024-01-12T05:48:36.986568",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(df['Salary'])\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "08ee4463",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:37.379539Z",
     "iopub.status.busy": "2024-01-12T05:48:37.378635Z",
     "iopub.status.idle": "2024-01-12T05:48:37.667382Z",
     "shell.execute_reply": "2024-01-12T05:48:37.666031Z"
    },
    "papermill": {
     "duration": 0.303481,
     "end_time": "2024-01-12T05:48:37.670126",
     "exception": false,
     "start_time": "2024-01-12T05:48:37.366645",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='Experience Years',y='Salary',data=df)\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c9b2de03",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:37.694912Z",
     "iopub.status.busy": "2024-01-12T05:48:37.693827Z",
     "iopub.status.idle": "2024-01-12T05:48:38.106681Z",
     "shell.execute_reply": "2024-01-12T05:48:38.105457Z"
    },
    "papermill": {
     "duration": 0.428737,
     "end_time": "2024-01-12T05:48:38.110070",
     "exception": false,
     "start_time": "2024-01-12T05:48:37.681333",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x='Experience Years',y='Salary',data=df)\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "55509b7b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:38.137395Z",
     "iopub.status.busy": "2024-01-12T05:48:38.134855Z",
     "iopub.status.idle": "2024-01-12T05:48:38.142736Z",
     "shell.execute_reply": "2024-01-12T05:48:38.141653Z"
    },
    "papermill": {
     "duration": 0.023586,
     "end_time": "2024-01-12T05:48:38.145356",
     "exception": false,
     "start_time": "2024-01-12T05:48:38.121770",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "x=df['Experience Years']\n",
    "y=df['Salary']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8d42e3ea",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:38.174358Z",
     "iopub.status.busy": "2024-01-12T05:48:38.173923Z",
     "iopub.status.idle": "2024-01-12T05:48:39.903107Z",
     "shell.execute_reply": "2024-01-12T05:48:39.901836Z"
    },
    "papermill": {
     "duration": 1.748933,
     "end_time": "2024-01-12T05:48:39.906032",
     "exception": false,
     "start_time": "2024-01-12T05:48:38.157099",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "25097475",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:39.933843Z",
     "iopub.status.busy": "2024-01-12T05:48:39.932918Z",
     "iopub.status.idle": "2024-01-12T05:48:39.955186Z",
     "shell.execute_reply": "2024-01-12T05:48:39.954062Z"
    },
    "papermill": {
     "duration": 0.03896,
     "end_time": "2024-01-12T05:48:39.957672",
     "exception": false,
     "start_time": "2024-01-12T05:48:39.918712",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                 Salary   R-squared:                       0.956\n",
      "Model:                            OLS   Adj. R-squared:                  0.955\n",
      "Method:                 Least Squares   F-statistic:                     823.3\n",
      "Date:                Fri, 12 Jan 2024   Prob (F-statistic):           2.32e-27\n",
      "Time:                        05:48:39   Log-Likelihood:                -400.39\n",
      "No. Observations:                  40   AIC:                             804.8\n",
      "Df Residuals:                      38   BIC:                             808.2\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "====================================================================================\n",
      "                       coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------------\n",
      "const             2.567e+04   1920.100     13.371      0.000    2.18e+04    2.96e+04\n",
      "Experience Years  9523.6505    331.910     28.693      0.000    8851.734    1.02e+04\n",
      "==============================================================================\n",
      "Omnibus:                        3.473   Durbin-Watson:                   1.104\n",
      "Prob(Omnibus):                  0.176   Jarque-Bera (JB):                1.767\n",
      "Skew:                           0.194   Prob(JB):                        0.413\n",
      "Kurtosis:                       2.046   Cond. No.                         13.0\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "xc=sm.add_constant(x)\n",
    "model=sm.OLS(y,xc).fit()\n",
    "print(model.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "97482aa4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:39.983998Z",
     "iopub.status.busy": "2024-01-12T05:48:39.983373Z",
     "iopub.status.idle": "2024-01-12T05:48:40.189524Z",
     "shell.execute_reply": "2024-01-12T05:48:40.188324Z"
    },
    "papermill": {
     "duration": 0.223003,
     "end_time": "2024-01-12T05:48:40.192396",
     "exception": false,
     "start_time": "2024-01-12T05:48:39.969393",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "xtrain,xtest,ytrain,ytest=train_test_split(x,y,test_size=0.30,random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "33a61869",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:40.218442Z",
     "iopub.status.busy": "2024-01-12T05:48:40.218011Z",
     "iopub.status.idle": "2024-01-12T05:48:40.312399Z",
     "shell.execute_reply": "2024-01-12T05:48:40.311459Z"
    },
    "papermill": {
     "duration": 0.110484,
     "end_time": "2024-01-12T05:48:40.315151",
     "exception": false,
     "start_time": "2024-01-12T05:48:40.204667",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "57712b72",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:40.340912Z",
     "iopub.status.busy": "2024-01-12T05:48:40.340280Z",
     "iopub.status.idle": "2024-01-12T05:48:40.344991Z",
     "shell.execute_reply": "2024-01-12T05:48:40.344288Z"
    },
    "papermill": {
     "duration": 0.020191,
     "end_time": "2024-01-12T05:48:40.347102",
     "exception": false,
     "start_time": "2024-01-12T05:48:40.326911",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import r2_score, mean_squared_error\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c8426286",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:40.372387Z",
     "iopub.status.busy": "2024-01-12T05:48:40.371732Z",
     "iopub.status.idle": "2024-01-12T05:48:40.376315Z",
     "shell.execute_reply": "2024-01-12T05:48:40.375542Z"
    },
    "papermill": {
     "duration": 0.019649,
     "end_time": "2024-01-12T05:48:40.378392",
     "exception": false,
     "start_time": "2024-01-12T05:48:40.358743",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "lr=LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d663080e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:40.403983Z",
     "iopub.status.busy": "2024-01-12T05:48:40.403362Z",
     "iopub.status.idle": "2024-01-12T05:48:40.424617Z",
     "shell.execute_reply": "2024-01-12T05:48:40.423405Z"
    },
    "papermill": {
     "duration": 0.036999,
     "end_time": "2024-01-12T05:48:40.427073",
     "exception": false,
     "start_time": "2024-01-12T05:48:40.390074",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr_model = lr.fit(xtrain.values.reshape(-1,1),ytrain)\n",
    "lr_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7c587616",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:40.453273Z",
     "iopub.status.busy": "2024-01-12T05:48:40.452839Z",
     "iopub.status.idle": "2024-01-12T05:48:40.458852Z",
     "shell.execute_reply": "2024-01-12T05:48:40.457774Z"
    },
    "papermill": {
     "duration": 0.021735,
     "end_time": "2024-01-12T05:48:40.460948",
     "exception": false,
     "start_time": "2024-01-12T05:48:40.439213",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "y_pred_train = lr_model.predict(xtrain.values.reshape(-1,1))\n",
    "y_pred_test = lr_model.predict(xtest.values.reshape(-1,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1b64c3f9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:40.487415Z",
     "iopub.status.busy": "2024-01-12T05:48:40.486787Z",
     "iopub.status.idle": "2024-01-12T05:48:40.495549Z",
     "shell.execute_reply": "2024-01-12T05:48:40.494322Z"
    },
    "papermill": {
     "duration": 0.024711,
     "end_time": "2024-01-12T05:48:40.497734",
     "exception": false,
     "start_time": "2024-01-12T05:48:40.473023",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The R2-Score is: \n",
      "0.9593243523024569 0.9439054952900567\n",
      "The MSE is : \n",
      "5205.588208916534 5945.122385180168\n"
     ]
    }
   ],
   "source": [
    "print(\"The R2-Score is: \")\n",
    "print(r2_score(ytrain,y_pred_train),r2_score(ytest,y_pred_test))\n",
    "print(\"The MSE is : \")\n",
    "print(np.sqrt(mean_squared_error(ytrain,y_pred_train)),np.sqrt(mean_squared_error(ytest,y_pred_test)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "155b017d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:40.524391Z",
     "iopub.status.busy": "2024-01-12T05:48:40.523755Z",
     "iopub.status.idle": "2024-01-12T05:48:40.835192Z",
     "shell.execute_reply": "2024-01-12T05:48:40.834165Z"
    },
    "papermill": {
     "duration": 0.329007,
     "end_time": "2024-01-12T05:48:40.838919",
     "exception": false,
     "start_time": "2024-01-12T05:48:40.509912",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x=xtrain,y=ytrain,color='k')\n",
    "sns.lineplot(x=xtrain,y=y_pred_train,linewidth=2,linestyle='--',color='g')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c96b09ee",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:40.878396Z",
     "iopub.status.busy": "2024-01-12T05:48:40.877820Z",
     "iopub.status.idle": "2024-01-12T05:48:41.336203Z",
     "shell.execute_reply": "2024-01-12T05:48:41.335403Z"
    },
    "papermill": {
     "duration": 0.47888,
     "end_time": "2024-01-12T05:48:41.338337",
     "exception": false,
     "start_time": "2024-01-12T05:48:40.859457",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x=xtest,y=ytest,color='k')\n",
    "sns.lineplot(x=xtest,y=y_pred_test,linewidth=2,linestyle='--',color='g')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4e043034",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:41.367402Z",
     "iopub.status.busy": "2024-01-12T05:48:41.366980Z",
     "iopub.status.idle": "2024-01-12T05:48:41.373340Z",
     "shell.execute_reply": "2024-01-12T05:48:41.372184Z"
    },
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     "exception": false,
     "start_time": "2024-01-12T05:48:41.351873",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If the candidate is experienced, then the salary will be 9459.359534830563 times the experience\n",
      "----------------------------------------------------------------------------------------------------\n",
      "If the candidate is fresher, i.e. 0 years of experience, the the salary will be 26767.86524944281\n"
     ]
    }
   ],
   "source": [
    "print(\"If the candidate is experienced, then the salary will be {} times the experience\".format(lr_model.coef_[0]))\n",
    "\n",
    "print(\"--\"*50)\n",
    "\n",
    "print(\"If the candidate is fresher, i.e. 0 years of experience, the the salary will be {}\".format(lr_model.intercept_))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd310609",
   "metadata": {
    "papermill": {
     "duration": 0.013302,
     "end_time": "2024-01-12T05:48:41.402903",
     "exception": false,
     "start_time": "2024-01-12T05:48:41.389601",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**This implies**\n",
    "\n",
    "`Salary` = 26767.86524944281 + (9459.359534830563 * `Experience`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "99b77f73",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:41.432160Z",
     "iopub.status.busy": "2024-01-12T05:48:41.431665Z",
     "iopub.status.idle": "2024-01-12T05:48:41.437196Z",
     "shell.execute_reply": "2024-01-12T05:48:41.436162Z"
    },
    "papermill": {
     "duration": 0.023044,
     "end_time": "2024-01-12T05:48:41.439546",
     "exception": false,
     "start_time": "2024-01-12T05:48:41.416502",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def salary_predictor(x):\n",
    "    salary = lr_model.predict([[x]])[0]\n",
    "    return salary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e192a532",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-01-12T05:48:41.468506Z",
     "iopub.status.busy": "2024-01-12T05:48:41.468102Z",
     "iopub.status.idle": "2024-01-12T05:48:41.473989Z",
     "shell.execute_reply": "2024-01-12T05:48:41.473196Z"
    },
    "papermill": {
     "duration": 0.022907,
     "end_time": "2024-01-12T05:48:41.476076",
     "exception": false,
     "start_time": "2024-01-12T05:48:41.453169",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "69334.98315618034"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Illustration:\n",
    "\n",
    "salary_predictor(4.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "492f7efb",
   "metadata": {
    "papermill": {
     "duration": 0.013961,
     "end_time": "2024-01-12T05:48:41.503750",
     "exception": false,
     "start_time": "2024-01-12T05:48:41.489789",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  }
 ],
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