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diff --git a/Body Fat Prediction/Model/.ipynb_checkpoints/Body_Fat_Prediction-checkpoint.ipynb b/Body Fat Prediction/Model/.ipynb_checkpoints/Body_Fat_Prediction-checkpoint.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T14:00:54.829912Z",
+     "start_time": "2024-06-16T14:00:54.698150Z"
+    },
+    "id": "1xDZOVR30dHj"
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pickle as pkl\n",
+    "from sklearn.model_selection import train_test_split, cross_val_score\n",
+    "from sklearn.linear_model import LinearRegression, Lasso, Ridge\n",
+    "from sklearn.metrics import mean_squared_error"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T14:00:05.854936Z",
+     "start_time": "2024-06-16T14:00:05.740236Z"
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 206
+    },
+    "id": "iNjNb1ir3LH8",
+    "outputId": "e6fe7edd-584b-427b-d7bf-addd28dfc30d"
+   },
+   "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>Density</th>\n",
+       "      <th>BodyFat</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Weight</th>\n",
+       "      <th>Height</th>\n",
+       "      <th>Neck</th>\n",
+       "      <th>Chest</th>\n",
+       "      <th>Abdomen</th>\n",
+       "      <th>Hip</th>\n",
+       "      <th>Thigh</th>\n",
+       "      <th>Knee</th>\n",
+       "      <th>Ankle</th>\n",
+       "      <th>Biceps</th>\n",
+       "      <th>Forearm</th>\n",
+       "      <th>Wrist</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.0708</td>\n",
+       "      <td>12.3</td>\n",
+       "      <td>23</td>\n",
+       "      <td>154.25</td>\n",
+       "      <td>67.75</td>\n",
+       "      <td>36.2</td>\n",
+       "      <td>93.1</td>\n",
+       "      <td>85.2</td>\n",
+       "      <td>94.5</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>21.9</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>27.4</td>\n",
+       "      <td>17.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.0853</td>\n",
+       "      <td>6.1</td>\n",
+       "      <td>22</td>\n",
+       "      <td>173.25</td>\n",
+       "      <td>72.25</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>93.6</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>98.7</td>\n",
+       "      <td>58.7</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>23.4</td>\n",
+       "      <td>30.5</td>\n",
+       "      <td>28.9</td>\n",
+       "      <td>18.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.0414</td>\n",
+       "      <td>25.3</td>\n",
+       "      <td>22</td>\n",
+       "      <td>154.00</td>\n",
+       "      <td>66.25</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>95.8</td>\n",
+       "      <td>87.9</td>\n",
+       "      <td>99.2</td>\n",
+       "      <td>59.6</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>28.8</td>\n",
+       "      <td>25.2</td>\n",
+       "      <td>16.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0751</td>\n",
+       "      <td>10.4</td>\n",
+       "      <td>26</td>\n",
+       "      <td>184.75</td>\n",
+       "      <td>72.25</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>101.8</td>\n",
+       "      <td>86.4</td>\n",
+       "      <td>101.2</td>\n",
+       "      <td>60.1</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>22.8</td>\n",
+       "      <td>32.4</td>\n",
+       "      <td>29.4</td>\n",
+       "      <td>18.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0340</td>\n",
+       "      <td>28.7</td>\n",
+       "      <td>24</td>\n",
+       "      <td>184.25</td>\n",
+       "      <td>71.25</td>\n",
+       "      <td>34.4</td>\n",
+       "      <td>97.3</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>101.9</td>\n",
+       "      <td>63.2</td>\n",
+       "      <td>42.2</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>32.2</td>\n",
+       "      <td>27.7</td>\n",
+       "      <td>17.7</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Density  BodyFat  Age  Weight  Height  Neck  Chest  Abdomen    Hip  Thigh  \\\n",
+       "0   1.0708     12.3   23  154.25   67.75  36.2   93.1     85.2   94.5   59.0   \n",
+       "1   1.0853      6.1   22  173.25   72.25  38.5   93.6     83.0   98.7   58.7   \n",
+       "2   1.0414     25.3   22  154.00   66.25  34.0   95.8     87.9   99.2   59.6   \n",
+       "3   1.0751     10.4   26  184.75   72.25  37.4  101.8     86.4  101.2   60.1   \n",
+       "4   1.0340     28.7   24  184.25   71.25  34.4   97.3    100.0  101.9   63.2   \n",
+       "\n",
+       "   Knee  Ankle  Biceps  Forearm  Wrist  \n",
+       "0  37.3   21.9    32.0     27.4   17.1  \n",
+       "1  37.3   23.4    30.5     28.9   18.2  \n",
+       "2  38.9   24.0    28.8     25.2   16.6  \n",
+       "3  37.3   22.8    32.4     29.4   18.2  \n",
+       "4  42.2   24.0    32.2     27.7   17.7  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('Dataset/bodyfat.csv')\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:05.193514Z",
+     "start_time": "2024-06-16T13:39:05.188086Z"
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "JrhSuJjL3RH4",
+    "outputId": "a980f61f-1fe2-4838-b99b-33b950fe0919"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Density    0\n",
+       "BodyFat    0\n",
+       "Age        0\n",
+       "Weight     0\n",
+       "Height     0\n",
+       "Neck       0\n",
+       "Chest      0\n",
+       "Abdomen    0\n",
+       "Hip        0\n",
+       "Thigh      0\n",
+       "Knee       0\n",
+       "Ankle      0\n",
+       "Biceps     0\n",
+       "Forearm    0\n",
+       "Wrist      0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:07.843830Z",
+     "start_time": "2024-06-16T13:39:07.826029Z"
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "2DhYfTUg3pcp",
+    "outputId": "950f6b5b-95eb-4d0f-8204-900d1e672302"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 252 entries, 0 to 251\n",
+      "Data columns (total 15 columns):\n",
+      " #   Column   Non-Null Count  Dtype  \n",
+      "---  ------   --------------  -----  \n",
+      " 0   Density  252 non-null    float64\n",
+      " 1   BodyFat  252 non-null    float64\n",
+      " 2   Age      252 non-null    int64  \n",
+      " 3   Weight   252 non-null    float64\n",
+      " 4   Height   252 non-null    float64\n",
+      " 5   Neck     252 non-null    float64\n",
+      " 6   Chest    252 non-null    float64\n",
+      " 7   Abdomen  252 non-null    float64\n",
+      " 8   Hip      252 non-null    float64\n",
+      " 9   Thigh    252 non-null    float64\n",
+      " 10  Knee     252 non-null    float64\n",
+      " 11  Ankle    252 non-null    float64\n",
+      " 12  Biceps   252 non-null    float64\n",
+      " 13  Forearm  252 non-null    float64\n",
+      " 14  Wrist    252 non-null    float64\n",
+      "dtypes: float64(14), int64(1)\n",
+      "memory usage: 29.7 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:14.333717Z",
+     "start_time": "2024-06-16T13:39:14.096458Z"
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 296
+    },
+    "id": "g75gveYv-GIr",
+    "outputId": "b4888877-701d-48f0-a0b2-6590caedfd41"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='Chest', ylabel='Weight'>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(data = df, x = \"Chest\",y = \"Weight\", color=\"magenta\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:15.280116Z",
+     "start_time": "2024-06-16T13:39:15.109828Z"
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 296
+    },
+    "id": "fT266qgQ_NWZ",
+    "outputId": "80f4b34f-2c51-42b9-b20f-83b3f23bf570"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='Hip', ylabel='Abdomen'>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(data = df, x = \"Hip\",y = \"Abdomen\", color=\"orange\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:15.871957Z",
+     "start_time": "2024-06-16T13:39:15.867637Z"
+    },
+    "id": "7BN6_59m3p2g"
+   },
+   "outputs": [],
+   "source": [
+    "data = df.copy()\n",
+    "data = data.drop(columns=['BodyFat','Density'], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:17.662145Z",
+     "start_time": "2024-06-16T13:39:17.513660Z"
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 296
+    },
+    "id": "5mzPZhFl-xaL",
+    "outputId": "83b45409-99d6-4081-85c7-035dbd1e32f8"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='BodyFat', ylabel='Count'>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.histplot(data=df, x='BodyFat')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:18.819159Z",
+     "start_time": "2024-06-16T13:39:18.328518Z"
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 524
+    },
+    "id": "t03vV8WN3tWA",
+    "outputId": "45e2c965-6742-490f-ae04-520c608c333d"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "features = list(data.columns)\n",
+    "correlation = df[features].corr(method='spearman')\n",
+    "plt.figure(figsize=(10,10))\n",
+    "sns.heatmap(correlation, annot=True, vmin=-1, vmax=1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:19.826628Z",
+     "start_time": "2024-06-16T13:39:19.822833Z"
+    },
+    "id": "0afg1oMA6Qu4"
+   },
+   "outputs": [],
+   "source": [
+    "X = data\n",
+    "y = df['BodyFat']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:28.873120Z",
+     "start_time": "2024-06-16T13:39:28.847767Z"
+    },
+    "id": "KJ3g2OSf7Qrh"
+   },
+   "outputs": [],
+   "source": [
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "OMiNYwvK8E-D"
+   },
+   "source": [
+    "Linear Regression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "s9X4wEg78Ayx",
+    "outputId": "79409065-3eae-406e-d77d-2dc0871ef9b1"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Score --> 0.6353780797292593\n",
+      "RMSE --> 4.451317843688743\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ksprateek/anaconda3/envs/myEnv/lib/python3.12/site-packages/sklearn/metrics/_regression.py:483: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "regr = LinearRegression()\n",
+    "regr.fit(X_train, y_train)\n",
+    "y_pred = regr.predict(X_test)\n",
+    "score = regr.score(X_test, y_test)\n",
+    "rmse = mean_squared_error(y_test, y_pred, squared=False)\n",
+    "print(f\"Score --> {score}\")\n",
+    "print(f\"RMSE --> {rmse}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "KPR9lQ6z8Yth"
+   },
+   "source": [
+    "Lasso"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "ymfxCE908KP6",
+    "outputId": "ef7dada0-3778-4a14-e815-96fdd1184ec4"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CV Score --> 0.695203613655014\n",
+      "RMSE --> 4.451317843688743\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ksprateek/anaconda3/envs/myEnv/lib/python3.12/site-packages/sklearn/metrics/_regression.py:483: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "lasso_regr = Lasso(alpha=0.5)\n",
+    "lasso_regr.fit(X_train, y_train)\n",
+    "cv_score = cross_val_score(lasso_regr, X_train, y_train, cv=10)\n",
+    "print(f\"CV Score --> {np.mean(cv_score)}\")\n",
+    "rmse = mean_squared_error(y_test, y_pred, squared=False)\n",
+    "print(f\"RMSE --> {rmse}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "kNuCEm6J8nrj"
+   },
+   "source": [
+    "Ridge"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "fCCV8haF8kC4",
+    "outputId": "ee244cae-8ff5-48cb-e537-e76b0010e694"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CV Score --> 0.6704406440872163\n",
+      "RMSE --> 4.451317843688743\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ksprateek/anaconda3/envs/myEnv/lib/python3.12/site-packages/sklearn/metrics/_regression.py:483: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "ridge_regr = Ridge(alpha=0.5)\n",
+    "ridge_regr.fit(X_train, y_train)\n",
+    "cv_score = cross_val_score(ridge_regr, X_train, y_train, cv=10)\n",
+    "print(f\"CV Score --> {np.mean(cv_score)}\")\n",
+    "rmse = mean_squared_error(y_test, y_pred, squared=False)\n",
+    "print(f\"RMSE --> {rmse}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "id": "BecgHuNl8uJx"
+   },
+   "outputs": [],
+   "source": [
+    "pkl.dump(lasso_regr, open(\"model.pkl\", \"wb\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "FrqaaDtF88fK"
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "name": "Body Fat Prediction.ipynb",
+   "provenance": []
+  },
+  "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": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/Body Fat Prediction/Model/Body_Fat_Prediction.ipynb b/Body Fat Prediction/Model/Body_Fat_Prediction.ipynb
index 76ab94773..50bfb65c2 100644
--- a/Body Fat Prediction/Model/Body_Fat_Prediction.ipynb	
+++ b/Body Fat Prediction/Model/Body_Fat_Prediction.ipynb	
@@ -1,689 +1,683 @@
 {
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "colab": {
-      "name": "Body Fat Prediction.ipynb",
-      "provenance": []
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T14:00:54.829912Z",
+     "start_time": "2024-06-16T14:00:54.698150Z"
     },
-    "language_info": {
-      "name": "python"
-    }
+    "id": "1xDZOVR30dHj"
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pickle as pkl\n",
+    "from sklearn.model_selection import train_test_split, cross_val_score\n",
+    "from sklearn.linear_model import LinearRegression, Lasso, Ridge\n",
+    "from sklearn.metrics import mean_squared_error"
+   ]
   },
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": 1,
-      "metadata": {
-        "id": "1xDZOVR30dHj"
-      },
-      "outputs": [],
-      "source": [
-        "import numpy as np \n",
-        "import pandas as pd\n",
-        "import seaborn as sns\n",
-        "import matplotlib.pyplot as plt\n",
-        "\n",
-        "from sklearn.model_selection import train_test_split, cross_val_score\n",
-        "from sklearn.linear_model import LinearRegression, Lasso, Ridge\n",
-        "from sklearn.metrics import mean_squared_error"
-      ]
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T14:00:05.854936Z",
+     "start_time": "2024-06-16T14:00:05.740236Z"
     },
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 206
+    },
+    "id": "iNjNb1ir3LH8",
+    "outputId": "e6fe7edd-584b-427b-d7bf-addd28dfc30d"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "source": [
-        "df = pd.read_csv('/content/bodyfat.csv')\n",
-        "df.head()"
+     "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>Density</th>\n",
+       "      <th>BodyFat</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Weight</th>\n",
+       "      <th>Height</th>\n",
+       "      <th>Neck</th>\n",
+       "      <th>Chest</th>\n",
+       "      <th>Abdomen</th>\n",
+       "      <th>Hip</th>\n",
+       "      <th>Thigh</th>\n",
+       "      <th>Knee</th>\n",
+       "      <th>Ankle</th>\n",
+       "      <th>Biceps</th>\n",
+       "      <th>Forearm</th>\n",
+       "      <th>Wrist</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.0708</td>\n",
+       "      <td>12.3</td>\n",
+       "      <td>23</td>\n",
+       "      <td>154.25</td>\n",
+       "      <td>67.75</td>\n",
+       "      <td>36.2</td>\n",
+       "      <td>93.1</td>\n",
+       "      <td>85.2</td>\n",
+       "      <td>94.5</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>21.9</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>27.4</td>\n",
+       "      <td>17.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.0853</td>\n",
+       "      <td>6.1</td>\n",
+       "      <td>22</td>\n",
+       "      <td>173.25</td>\n",
+       "      <td>72.25</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>93.6</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>98.7</td>\n",
+       "      <td>58.7</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>23.4</td>\n",
+       "      <td>30.5</td>\n",
+       "      <td>28.9</td>\n",
+       "      <td>18.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.0414</td>\n",
+       "      <td>25.3</td>\n",
+       "      <td>22</td>\n",
+       "      <td>154.00</td>\n",
+       "      <td>66.25</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>95.8</td>\n",
+       "      <td>87.9</td>\n",
+       "      <td>99.2</td>\n",
+       "      <td>59.6</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>28.8</td>\n",
+       "      <td>25.2</td>\n",
+       "      <td>16.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0751</td>\n",
+       "      <td>10.4</td>\n",
+       "      <td>26</td>\n",
+       "      <td>184.75</td>\n",
+       "      <td>72.25</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>101.8</td>\n",
+       "      <td>86.4</td>\n",
+       "      <td>101.2</td>\n",
+       "      <td>60.1</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>22.8</td>\n",
+       "      <td>32.4</td>\n",
+       "      <td>29.4</td>\n",
+       "      <td>18.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0340</td>\n",
+       "      <td>28.7</td>\n",
+       "      <td>24</td>\n",
+       "      <td>184.25</td>\n",
+       "      <td>71.25</td>\n",
+       "      <td>34.4</td>\n",
+       "      <td>97.3</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>101.9</td>\n",
+       "      <td>63.2</td>\n",
+       "      <td>42.2</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>32.2</td>\n",
+       "      <td>27.7</td>\n",
+       "      <td>17.7</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
       ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 206
-        },
-        "id": "iNjNb1ir3LH8",
-        "outputId": "e6fe7edd-584b-427b-d7bf-addd28dfc30d"
-      },
-      "execution_count": 3,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/html": [
-              "\n",
-              "  <div id=\"df-6684f04e-fa8d-468b-a456-765678d32fdc\">\n",
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-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>Density</th>\n",
-              "      <th>BodyFat</th>\n",
-              "      <th>Age</th>\n",
-              "      <th>Weight</th>\n",
-              "      <th>Height</th>\n",
-              "      <th>Neck</th>\n",
-              "      <th>Chest</th>\n",
-              "      <th>Abdomen</th>\n",
-              "      <th>Hip</th>\n",
-              "      <th>Thigh</th>\n",
-              "      <th>Knee</th>\n",
-              "      <th>Ankle</th>\n",
-              "      <th>Biceps</th>\n",
-              "      <th>Forearm</th>\n",
-              "      <th>Wrist</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>0</th>\n",
-              "      <td>1.0708</td>\n",
-              "      <td>12.3</td>\n",
-              "      <td>23</td>\n",
-              "      <td>154.25</td>\n",
-              "      <td>67.75</td>\n",
-              "      <td>36.2</td>\n",
-              "      <td>93.1</td>\n",
-              "      <td>85.2</td>\n",
-              "      <td>94.5</td>\n",
-              "      <td>59.0</td>\n",
-              "      <td>37.3</td>\n",
-              "      <td>21.9</td>\n",
-              "      <td>32.0</td>\n",
-              "      <td>27.4</td>\n",
-              "      <td>17.1</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1</th>\n",
-              "      <td>1.0853</td>\n",
-              "      <td>6.1</td>\n",
-              "      <td>22</td>\n",
-              "      <td>173.25</td>\n",
-              "      <td>72.25</td>\n",
-              "      <td>38.5</td>\n",
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-              "      <td>83.0</td>\n",
-              "      <td>98.7</td>\n",
-              "      <td>58.7</td>\n",
-              "      <td>37.3</td>\n",
-              "      <td>23.4</td>\n",
-              "      <td>30.5</td>\n",
-              "      <td>28.9</td>\n",
-              "      <td>18.2</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>2</th>\n",
-              "      <td>1.0414</td>\n",
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-              "      <td>22</td>\n",
-              "      <td>154.00</td>\n",
-              "      <td>66.25</td>\n",
-              "      <td>34.0</td>\n",
-              "      <td>95.8</td>\n",
-              "      <td>87.9</td>\n",
-              "      <td>99.2</td>\n",
-              "      <td>59.6</td>\n",
-              "      <td>38.9</td>\n",
-              "      <td>24.0</td>\n",
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-              "      <td>25.2</td>\n",
-              "      <td>16.6</td>\n",
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-              "    <tr>\n",
-              "      <th>3</th>\n",
-              "      <td>1.0751</td>\n",
-              "      <td>10.4</td>\n",
-              "      <td>26</td>\n",
-              "      <td>184.75</td>\n",
-              "      <td>72.25</td>\n",
-              "      <td>37.4</td>\n",
-              "      <td>101.8</td>\n",
-              "      <td>86.4</td>\n",
-              "      <td>101.2</td>\n",
-              "      <td>60.1</td>\n",
-              "      <td>37.3</td>\n",
-              "      <td>22.8</td>\n",
-              "      <td>32.4</td>\n",
-              "      <td>29.4</td>\n",
-              "      <td>18.2</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>4</th>\n",
-              "      <td>1.0340</td>\n",
-              "      <td>28.7</td>\n",
-              "      <td>24</td>\n",
-              "      <td>184.25</td>\n",
-              "      <td>71.25</td>\n",
-              "      <td>34.4</td>\n",
-              "      <td>97.3</td>\n",
-              "      <td>100.0</td>\n",
-              "      <td>101.9</td>\n",
-              "      <td>63.2</td>\n",
-              "      <td>42.2</td>\n",
-              "      <td>24.0</td>\n",
-              "      <td>32.2</td>\n",
-              "      <td>27.7</td>\n",
-              "      <td>17.7</td>\n",
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-              "  </tbody>\n",
-              "</table>\n",
-              "</div>\n",
-              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6684f04e-fa8d-468b-a456-765678d32fdc')\"\n",
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-              "\n",
-              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
-              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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-              "    </div>\n",
-              "  </div>\n",
-              "  "
-            ],
-            "text/plain": [
-              "   Density  BodyFat  Age  Weight  Height  ...  Knee  Ankle  Biceps  Forearm  Wrist\n",
-              "0   1.0708     12.3   23  154.25   67.75  ...  37.3   21.9    32.0     27.4   17.1\n",
-              "1   1.0853      6.1   22  173.25   72.25  ...  37.3   23.4    30.5     28.9   18.2\n",
-              "2   1.0414     25.3   22  154.00   66.25  ...  38.9   24.0    28.8     25.2   16.6\n",
-              "3   1.0751     10.4   26  184.75   72.25  ...  37.3   22.8    32.4     29.4   18.2\n",
-              "4   1.0340     28.7   24  184.25   71.25  ...  42.2   24.0    32.2     27.7   17.7\n",
-              "\n",
-              "[5 rows x 15 columns]"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 3
-        }
+      "text/plain": [
+       "   Density  BodyFat  Age  Weight  Height  Neck  Chest  Abdomen    Hip  Thigh  \\\n",
+       "0   1.0708     12.3   23  154.25   67.75  36.2   93.1     85.2   94.5   59.0   \n",
+       "1   1.0853      6.1   22  173.25   72.25  38.5   93.6     83.0   98.7   58.7   \n",
+       "2   1.0414     25.3   22  154.00   66.25  34.0   95.8     87.9   99.2   59.6   \n",
+       "3   1.0751     10.4   26  184.75   72.25  37.4  101.8     86.4  101.2   60.1   \n",
+       "4   1.0340     28.7   24  184.25   71.25  34.4   97.3    100.0  101.9   63.2   \n",
+       "\n",
+       "   Knee  Ankle  Biceps  Forearm  Wrist  \n",
+       "0  37.3   21.9    32.0     27.4   17.1  \n",
+       "1  37.3   23.4    30.5     28.9   18.2  \n",
+       "2  38.9   24.0    28.8     25.2   16.6  \n",
+       "3  37.3   22.8    32.4     29.4   18.2  \n",
+       "4  42.2   24.0    32.2     27.7   17.7  "
       ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('Dataset/bodyfat.csv')\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:05.193514Z",
+     "start_time": "2024-06-16T13:39:05.188086Z"
     },
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "JrhSuJjL3RH4",
+    "outputId": "a980f61f-1fe2-4838-b99b-33b950fe0919"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "source": [
-        "df.isnull().sum()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "JrhSuJjL3RH4",
-        "outputId": "a980f61f-1fe2-4838-b99b-33b950fe0919"
-      },
-      "execution_count": 4,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "Density    0\n",
-              "BodyFat    0\n",
-              "Age        0\n",
-              "Weight     0\n",
-              "Height     0\n",
-              "Neck       0\n",
-              "Chest      0\n",
-              "Abdomen    0\n",
-              "Hip        0\n",
-              "Thigh      0\n",
-              "Knee       0\n",
-              "Ankle      0\n",
-              "Biceps     0\n",
-              "Forearm    0\n",
-              "Wrist      0\n",
-              "dtype: int64"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 4
-        }
+     "data": {
+      "text/plain": [
+       "Density    0\n",
+       "BodyFat    0\n",
+       "Age        0\n",
+       "Weight     0\n",
+       "Height     0\n",
+       "Neck       0\n",
+       "Chest      0\n",
+       "Abdomen    0\n",
+       "Hip        0\n",
+       "Thigh      0\n",
+       "Knee       0\n",
+       "Ankle      0\n",
+       "Biceps     0\n",
+       "Forearm    0\n",
+       "Wrist      0\n",
+       "dtype: int64"
       ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:07.843830Z",
+     "start_time": "2024-06-16T13:39:07.826029Z"
     },
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "2DhYfTUg3pcp",
+    "outputId": "950f6b5b-95eb-4d0f-8204-900d1e672302"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "source": [
-        "df.info()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "2DhYfTUg3pcp",
-        "outputId": "950f6b5b-95eb-4d0f-8204-900d1e672302"
-      },
-      "execution_count": 5,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "<class 'pandas.core.frame.DataFrame'>\n",
-            "RangeIndex: 252 entries, 0 to 251\n",
-            "Data columns (total 15 columns):\n",
-            " #   Column   Non-Null Count  Dtype  \n",
-            "---  ------   --------------  -----  \n",
-            " 0   Density  252 non-null    float64\n",
-            " 1   BodyFat  252 non-null    float64\n",
-            " 2   Age      252 non-null    int64  \n",
-            " 3   Weight   252 non-null    float64\n",
-            " 4   Height   252 non-null    float64\n",
-            " 5   Neck     252 non-null    float64\n",
-            " 6   Chest    252 non-null    float64\n",
-            " 7   Abdomen  252 non-null    float64\n",
-            " 8   Hip      252 non-null    float64\n",
-            " 9   Thigh    252 non-null    float64\n",
-            " 10  Knee     252 non-null    float64\n",
-            " 11  Ankle    252 non-null    float64\n",
-            " 12  Biceps   252 non-null    float64\n",
-            " 13  Forearm  252 non-null    float64\n",
-            " 14  Wrist    252 non-null    float64\n",
-            "dtypes: float64(14), int64(1)\n",
-            "memory usage: 29.7 KB\n"
-          ]
-        }
-      ]
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 252 entries, 0 to 251\n",
+      "Data columns (total 15 columns):\n",
+      " #   Column   Non-Null Count  Dtype  \n",
+      "---  ------   --------------  -----  \n",
+      " 0   Density  252 non-null    float64\n",
+      " 1   BodyFat  252 non-null    float64\n",
+      " 2   Age      252 non-null    int64  \n",
+      " 3   Weight   252 non-null    float64\n",
+      " 4   Height   252 non-null    float64\n",
+      " 5   Neck     252 non-null    float64\n",
+      " 6   Chest    252 non-null    float64\n",
+      " 7   Abdomen  252 non-null    float64\n",
+      " 8   Hip      252 non-null    float64\n",
+      " 9   Thigh    252 non-null    float64\n",
+      " 10  Knee     252 non-null    float64\n",
+      " 11  Ankle    252 non-null    float64\n",
+      " 12  Biceps   252 non-null    float64\n",
+      " 13  Forearm  252 non-null    float64\n",
+      " 14  Wrist    252 non-null    float64\n",
+      "dtypes: float64(14), int64(1)\n",
+      "memory usage: 29.7 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:14.333717Z",
+     "start_time": "2024-06-16T13:39:14.096458Z"
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 296
     },
+    "id": "g75gveYv-GIr",
+    "outputId": "b4888877-701d-48f0-a0b2-6590caedfd41"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "source": [
-        "sns.scatterplot(data = df, x = \"Chest\",y = \"Weight\", color=\"magenta\")"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 296
-        },
-        "id": "g75gveYv-GIr",
-        "outputId": "b4888877-701d-48f0-a0b2-6590caedfd41"
-      },
-      "execution_count": 24,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "<matplotlib.axes._subplots.AxesSubplot at 0x7f443f204190>"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 24
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='Chest', ylabel='Weight'>"
       ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
     },
     {
-      "cell_type": "code",
-      "source": [
-        "sns.scatterplot(data = df, x = \"Hip\",y = \"Abdomen\", color=\"orange\")"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 296
-        },
-        "id": "fT266qgQ_NWZ",
-        "outputId": "80f4b34f-2c51-42b9-b20f-83b3f23bf570"
-      },
-      "execution_count": 28,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "<matplotlib.axes._subplots.AxesSubplot at 0x7f443ca49e50>"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 28
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(data = df, x = \"Chest\",y = \"Weight\", color=\"magenta\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:15.280116Z",
+     "start_time": "2024-06-16T13:39:15.109828Z"
     },
-    {
-      "cell_type": "code",
-      "source": [
-        "data = df.copy()\n",
-        "data = data.drop(columns=['BodyFat','Density'], axis=1)"
-      ],
-      "metadata": {
-        "id": "7BN6_59m3p2g"
-      },
-      "execution_count": 7,
-      "outputs": []
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 296
     },
+    "id": "fT266qgQ_NWZ",
+    "outputId": "80f4b34f-2c51-42b9-b20f-83b3f23bf570"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "source": [
-        "sns.histplot(data=df, x='BodyFat')"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 296
-        },
-        "id": "5mzPZhFl-xaL",
-        "outputId": "83b45409-99d6-4081-85c7-035dbd1e32f8"
-      },
-      "execution_count": 26,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "<matplotlib.axes._subplots.AxesSubplot at 0x7f443caa8390>"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 26
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='Hip', ylabel='Abdomen'>"
       ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
     },
     {
-      "cell_type": "code",
-      "source": [
-        "features = list(data.columns)\n",
-        "correlation = df[features].corr(method='spearman')\n",
-        "plt.figure(figsize=(10,10))\n",
-        "sns.heatmap(correlation, annot=True, vmin=-1, vmax=1)\n",
-        "plt.show()"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 524
-        },
-        "id": "t03vV8WN3tWA",
-        "outputId": "45e2c965-6742-490f-ae04-520c608c333d"
-      },
-      "execution_count": 10,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 720x576 with 2 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
+     "data": {
+      "image/png": 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BtclkgkqlQq9evQAApaWlaGlpQU6OtRjTaDRi+PDh2LVrl9vrmM1m1NXV2T2IiIhImaImGLp48SJ+85vfYObMmZbor7KyEnFxcUhKsq830Ov1qKysdHut5cuXQ6fTWR7p6dwPiYiISKmiIhhqaWnBjBkz0N7ejldeecXr6yVJgkqlcnt+8eLFMJlMlkdFRUUwh0tERERRJOKDoZaWFkyfPh3l5eUoLCy0mxM0GAxobm5Gba395o7V1dXQ6903b9NoNEhMTLR7EBERkTJFdDAkB0LffvstioqKkJKSYnd+1KhRiI2NRWFhoeXYmTNncOjQIYwbN66zh0tERERRKKxNFxsaGnDs2DHL8/LycpSVlSE5ORlGoxF33nkn9u/fj82bN6Otrc1SB5ScnIy4uDjodDrMmTMHCxcuREpKCpKTk/H4449jxIgRyM7ODtfXIqJgMtfaNGjsBWj6sC8REQVVWJfWf/rpp5g4caLT8VmzZiE/Px8DBgxw+b5PPvkEN9xwAwBRWL1o0SK89dZbaGpqQlZWFl555RW/iqK5tJ4oQjVWACVzgcqt1mPy1h1aLnwgUrpg/X5HTJ+hcGIwRBSBzLXAzhn2gZDMkCO29GCGiEjRFNlniIgUxFzlOhACxHFzVeeOh4i6LAZDRBSZmk0dO09E5CMGQ0QUmeJ0HTtPROQjBkNEFJk0elEb5IohR5wnIgoCBkNEFJk0SWLVmGNAJK8mY/E0EQVJWPsMERF5pE0Xq8YsfYZ0IiPEQIiIgojBEBGFTjAaJmqSGPwQUUgxGCKi0GDDRCKKEqwZIqLgM9c6B0KAeF4yV5wP9efXHQFqSoC6o6H/PCKKaswMEVHw+dIwMVRTX8xIEZGfmBkiouALV8PEcGekiCgqBZQZOn/+PPbs2YPq6mq0t7fbnfvlL38ZlIERURQLV8PEcGakiChq+R0MffDBB/j5z3+OxsZG9OzZEyqVynJOpVIxGCIia8NEd5ushqphIrfwIKIA+D1NtnDhQtx///2or6/H+fPnUVtba3mcO3cuFGMkomgTroaJ3MKDiALgd2bo1KlTWLBgARISEkIxHiLqKsLRMDFcGSkiimp+Z4YmTZqEffv2hWIsRBQMkbKs3KnhYid0juYWHkQUAL8zQ7fccgsWLVqEr776CiNGjEBsbKzd+dzc3KANjoj8FCnLyt2NY/SfRZAUlxhYN2pfcAsPIvKTSpIkyZ83dOvmPpmkUqnQ1tbW4UF1trq6Ouh0OphMJiQmJoZ7OESBMdcCO2e4nyIavyGwgMDfLTU8jUOfBaRmAoeXsvcPEXVYsH6//c4MOS6lJ6IIEYpl5YFkmjyNo2obMCTPOqaSua6DtGDsaUZE5KMONV28ePFisMZBRB0V7GXlgTYw9PY5bTb/3pCDNFuNFSKztHkosDUT2DxEPG+s8G/8REQ+8jsYamtrw7PPPou+ffuiR48e+L//+z8AwFNPPYW1a9cGfYBE5KNgLyv3JdMUyOfEdLd/bhs8sYM0EYWB38HQ0qVLUVBQgBUrViAuLs5yfMSIEXj99deDOjgi8oO8rNyVQJaVB5pp8jQOfRZQs9v+mG3wFGgARkTUAX4HQ//4xz/w2muv4ec//zliYmIsx6+88kocOXIkqIMjIj8Ee1l5oJkmd+PQZwFDHgGOrrYfm22Qxg7SRBQGATVdHDhwoNPx9vZ2tLS0BGVQRBSgYC4r70gDQ8dxqLXAD58DO+8BWhut13AM0thBmojCwO9gaNiwYfjss8/Qv39/u+P/+te/cPXVVwdtYEQUIE1ScFZeyRked6vJvH2G4zji+wL6n3gO0thBmojCwO9g6Omnn8a9996LU6dOob29He+99x6OHj2Kf/zjH9i8eXMoxkgUmZSw/DuomSYfgrSOBmBERAHwu+kiAGzZsgXLli1DaWkp2tvbcc011+D3v/89cnLcFE1GODZdJL9FSqfnrspcC5irgfY2AK1ASyOgSe6aAScRBSxYv98BBUNdDYMh8kuoOj2TPQacRORFsH6/O9R0saGhAXV1dXYPoi6Py79Dj/2GiKgT+R0MlZeX45ZbboFWq4VOp0NSUhKSkpLQq1cvJCXxv4ZJAbj8O/QYcBJRJ/K7gPrnP/85AOCNN96AXq+HSqUK+qCIIlo4ln8roVjbVns7MOEDsXVHTDxQ87noTyQvy2fASURB5Hcw9OWXX6K0tBQZGRmhGA9R5Ovs5d9Kq51prAD2P2r/ffVZwPi3rX2K2G+IiILI72my0aNHo6IiOBsm7tixA9OmTYPRaIRKpcKmTZvszr/33nuYNGkSUlNToVKpUFZW5nQNs9mM+fPnIzU1FVqtFrm5uTh58mRQxkfkUrA7PXuitNoZd9+3ahtw5CUgI4/9hogo6PzODL3++uv49a9/jVOnTmH48OGIjY21O3/llVf6fK3GxkaMHDkS9913H+644w6X58ePH4+77roLDzzwgMtr5OXl4YMPPsCGDRuQkpKChQsXYurUqSgtLbXbLoQoqILZf8cTX2pnutJ0mafvW7UNGPZbYOC8rvWdiSjs/A6GfvjhB3z33Xe47777LMdUKhUkSYJKpUJbW5vP15o8eTImT57s9vy9994LAPj+++9dnjeZTFi7di3WrVuH7OxsAMD69euRnp6OoqIiTJo0yeexEPktWJ2ePVFasba376OO75pTg0QUVn4HQ/fffz+uvvpqvP3222EvoC4tLUVLS4tds0ej0Yjhw4dj165dboMhs9kMs9lsec6WABSxOqtYO1IKtL1+X2aEiCj4/A6Gjh8/jvfff9/lZq2drbKyEnFxcU5L+vV6PSorK92+b/ny5XjmmWdCPTyijuuMYm25QLtmp6jJSc0E6r8FtAOAeGPnBkXcm4yIwsDvAuobb7wRBw4cCMVYgkaesnNn8eLFMJlMlkewCsKJgi7UxdpywXLNTrFaq2Y3sH2aeHw4XHTabuzEfz48fd/RfwbqjwF1R7te4TgRhZXfmaFp06bh0UcfxcGDBzFixAinAurc3NygDc4bg8GA5uZm1NbW2mWHqqurMW7cOLfv02g00Gg0nTFEoo7zt1jbnykvuWB52BKxWqtqm/15edVaZ24x4vh91Vrgh8+B/73K2meoK7cWIKJO53cw9Otf/xoA8Ic//MHpnL8F1B01atQoxMbGorCwENOnTwcAnDlzBocOHcKKFSs6bRxEIedrsba/PYnkguXUTODwUtfXDMeqNfn7utsHLhxBGhF1WX4HQ+3t7UH78IaGBhw7dszyvLy8HGVlZUhOTka/fv1w7tw5nDhxAqdPnwYAHD16FIDICBkMBuh0OsyZMwcLFy5ESkoKkpOT8fjjj2PEiBGW1WVEnSqchcjeehK5ChzkguW2i56vHa5Va0prLUBEYeF3MBRM+/btw8SJEy3PH3vsMQDArFmzUFBQgPfff99uCf+MGTMAAE8//TTy8/MBAKtWrYJarcb06dPR1NSErKwsFBQUsMcQdb5wd4oOJHCQC5Zjunu+drg6PiuttQARhYVKkiTJ3zdt374df/zjH/H1119DpVJh6NChWLRoEX7yk5+EYowhV1dXB51OB5PJhMTExHAPh6KRu+kcQAQbnTGdU1MCbM10fz5nN5A6xvl4YwVw+iPgxDvONUMA0DcXGP0q0Grq/IxX3RFg81D356d+DSQOCf04iCgiBev32+/VZOvXr0d2djYSEhKwYMECPPzww4iPj0dWVhbeeuutgAdCFNUiYZf1QHsSadOBfncC173qvIqrby5wzUpg92wRlGzNBDYP6bxVZnLmyhUutSeiIPE7MzR06FD86le/wqOPPmp3fOXKlfjb3/6Gr7/+OqgD7AzMDFGHBZqVCaZgZKfsap50gFonAqFwZrzCPf1IRBErWL/ffgdDGo0Ghw8fdmq6eOzYMQwfPhwXL3opxIxADIaowyJlOifYgUO4vpddUJYEqHvaTNOFaB84Ioo6wfr99ruAOj09Hdu2bXMKhrZt24b0dP5XGilUpHROdteTCBCBjb81P+EoYPYU0KWyPoiIgs/vYGjhwoVYsGABysrKMG7cOKhUKhQXF6OgoAAvvfRSKMZIFPnkzsnufsTD0aNH1pFsUWftjSYLpD0AEVEH+R0M/c///A8MBgNefPFFvPvuuwBEHdE777yDW2+9NegDJIpIrvoJ+dspurPG2ZHgorMzXuwrRERhEFCfodtuuw233XZbsMdCFB28ZVoi6cfa1+DCXbPIzs54sa8QEYVBWJsuEkWdaJvG8Rpc1HsP7gLNeAXSjbuzp+WIiOBjMJSUlORxF3hb586d69CAiCJatE3jeA0uEn0L7nzdG00WaJ1SpBSiE5Gi+BQMrV692vL3s2fP4rnnnsOkSZMwduxYAMDnn3+OLVu24KmnngrJIInshHP/r2ibxvEUXOizAHNN8IO7jmTPIqkQnYgUw+8+Q3fccQcmTpyIhx9+2O74mjVrUFRUhE2bNgVzfJ2CfYaiSLgb8Pnbd8efwC2QIM+X97i6Z/osYMgjQFszUHyn++sH0iwyGL2JHJs/hrsQnYgiUtj6DG3ZsgUvvPCC0/FJkybhN7/5TcADIfIqEup1/JnGcRe4XfdXoMfl9u8NJMjz9T22NT/ms0BzLVCzG9h5jzjuSSA1OsHInvk7LUdE1AF+702WkpKCjRs3Oh3ftGkTUlJSgjIoIpciYf8veRrHcb8sx2kcj4HbA0DDcesxb0GeudZ5HP6+R5MksjEqNbB9GnB4KdDaKIIifZbr7yoHd+Za4PxXwA/FQO0BoP4712OSsQiaiKKM35mhZ555BnPmzMGnn35qqRnavXs3PvroI7z++utBHyCRRaTU6/iyuspT4FZVBDR8B8QmXlrW7kdRtrkWaDoDSM2B1fo4BiJHVwPj3740Lpsd6w05wJi1QGuD6ym24b8DegwEtJc5f0Y4iqDDWUdGRFHP72Bo9uzZGDp0KP70pz/hvffegyRJ+PGPf4ydO3dizJgQb0RJyhZJGQdv0zheA7dz1oDF1yDPdlrs+n/59h5HjoFKa6OYLhv6BHDNiwAkEQDFJQOqGGDvr52DGjlo6ne32O3e8T50dhF0uOvIiCjqBdRnaMyYMfjnP/8Z7LEQeRZNy669BWYx3a0Biy9BnuO0WEz3wD7fXaDS56fAF084BxQZD4vgp7XR/jpV24Ahee4zUJ3VjTsS6siIKOoFFAy1tbVh48aN+Prrr6FSqTB06FDceuutUKvZw5FCKJqWXXtb0l6zGxjwC++vtdTtOEylybU+tlNbju9xxzFQ0aQCex90HVBIbUBGnqgxctR20XNWqzOKoKOt7xMRRSS/o5dDhw7h1ltvRWVlJTIyMgAA33zzDXr37o33338fI0aMCPogiSwicf8vVzRJYtVYyQOiRkgmL2k/9ro1YPElyKv/xv76Hmt9fAgMbQOVuiMe6psuZYBcieke/mLoSKkjI6Ko5ncwNHfuXAwbNgz79u1DUpL4l2ltbS1mz56NX/3qV/j888+DPkgiO9Gy7LrH5SIwafhO1AjFdBcZnWOvA9eusf8O3oI8TSow4QORjYmJB2o+F8HTFQ+IYEXdA9AkA/EB7I3mLWBou+h8TJ8FXDgDpI7377OCLZLqyIgoavkdDB04cMAuEALEdh1Lly7F6NGjgzo4oqjXo79YNWauEvuA/eg+oM0MNJ0G2i7Yr3pyF+Q1VjhPY+mzRKC18x6gJtN9MbMvvAYUyfbPbVeTdVZQ6nYj2SiqIyOiiOV3MJSRkYGqqioMGzbM7nh1dTUGDhwYtIERdRlykBPIqid3BcLy1NjVK4HEwR0LTLwFFIlDgSmHgZZaQK0F1D1FgNRZgZC3+xYtdWREFLF82o6jrq7O8vfi4mI88cQTyM/PR2ZmJgDRZ+gPf/gDnn/+eUyZMiV0ow0RbsehQJ3dl8ZcC+yc4T7gcLfqydvWFlO+BOIv6/jYI3V5uq/3jdt3EClSp27H0atXL7td6yVJwvTp0y3H5Hhq2rRpaGtrC3gwRJ0iHD/8ga568lbP03ohOD/6kVqY7ut9i5Y6MiKKSD4FQ5988olPF/viiy86NBiikAtXX5pAVz11ZoFwJAYUXC1GRJ3Ap2BowoQJbs+ZTCb885//xOuvv44DBw4gLy8vWGMjCj5/t74I1lRaoEFNqAuEI30bC64WI6JO4PdGrbKPP/4Yv/jFL5CWloaXX34ZU6ZMwb59+4I5NqLg82fri50zRL3O1kxg8xDxvLEisM+VgxpXPAU1vm4MG4hgf8dQCPS+ERH5wacCatnJkydRUFCAN954A42NjZg+fTpeffVVHDhwAD/+8Y9DOc6QYgF1F+BrhsNbQfLUr8UPrN9Fux4+U36d+ZxYVl+1TTRNbG30vVYp2AXCgRZ0h0OkFncTUdh1agE1AEyZMgXFxcWYOnUqXn75Zdx8882IiYnBq6++GvCHEwWFPz+WgWx9YatyK2Cudr2buyEHGP1nIC7FGki4G9ukUkAF36elXNXzdGSKK5q2sYjU4m4i6jJ8nibbunUr5s6di2eeeQa33HILYmJiQjkuIt94K4g219of92XaydtUWnub+8/c82vgxL9FEORpbKULOlaf09EprmgrTNYkAYlDgNQx4k8GQkQURD5nhj777DO88cYbuPbaazFkyBDce++9uPvuu0M5NiLvAslweMs0xPUChi0BUjPtt7+Qp7bQ6n0vr5K5wDWrQpN9MdcC+x4GUkYDGfPtx7jvYSCzwIe9yRy29zi3D4AKSL5GHFMniM9h0EFECuBzMDR27FiMHTsWL730EjZs2IA33ngDjz32GNrb21FYWIj09HT07NkzlGMlchZohsPTMvJuGqCmxH6ndn2W2Bj12OtAS6Pnz2y7KIKdlnO+jc3f6S5zNTBwLnDkJesY1VrRjTr9NqDuMKDp7f46rrb3MOQAwxYD26deCvjAuhwiUgy/V5MlJCTg/vvvR3FxMQ4ePIiFCxfi+eefR58+fZCbmxuKMRK515Gl1+ZaUVBdUwLUHb0UlNQCe+bZ7zQPiIzPkT8Bo/7kPVsS0138qe7hfWyuprv2/BpoOA6c/xKo/gw4f1BsiiprbxOBkLwlh1orArUT7wIfXQsU/sT9tJmnqbtDzwEZefbHXE01EhF1MQEvrQfEPmUrVqzAyZMn8fbbb/v9/h07dmDatGkwGo1QqVTYtGmT3XlJkpCfnw+j0Yj4+HjccMMNOHz4sN1rzGYz5s+fj9TUVGi1WuTm5uLkyZMd+VoUKVwFK44CXXrtruam6ZSHKbAioL3J82fqs8TO9ICYfvI0NrXOOTDp3gcY8ZQ4/uFIoOinwIdXAp//Eqj/7tKLWq2BECACGNvgSOYqmPE0rVi1TUwNOl7DXOX69UREXUSHgiFZTEwMfvazn+H999/3632NjY0YOXIk1qxZ4/L8ihUrsHLlSqxZswZ79+6FwWDATTfdhPr6estr8vLysHHjRmzYsAHFxcVoaGjA1KlTuS1ItPO1QDiQPjxydqRmp6gNmvABcP2/gIwFwEUvP/zNJnHN6/4KGG6yP6fPAoY8ImqL9FlAxX+AUasBfbbD67KB0X8BWuudA5PrXgdKH3WRmSoSGaMLZ5yn6VIznQMhmWMw421ase2i87FIK6YmIgoyv3etD6bJkydj8uTJLs9JkoTVq1djyZIluP322wEAb775JvR6Pd566y3MmzcPJpMJa9euxbp165CdLX5w1q9fj/T0dBQVFWHSpEkur202m2E2my3PbTeipQjg75YZ/i69NleJQGj82/Z1NwBwY5Hr98jkabd2M9B7PHDVcqDp0hRWzW5g5z1ASqYIis59AXyxSKyAGvLIpWLl7uJ1+x8FRi53vn6C0TkQklUVAc0/OH8vVwGMLdtgxtu0ojzFZ4tdnomoiwtKZigUysvLUVlZiZwc63/xazQaTJgwAbt27QIAlJaWoqWlxe41RqMRw4cPt7zGleXLl0On01ke6eksEI0ovqwQc+TP0utmk/uppapPnDM5Mttpt+bzwMF8oGiCCG7i04Ckq0RQlpopgqLka4DT/xXB1vZpQPFd4s/DS4FT7wNotc9MTdgMtDR4vDUiM+UwTecqgLGljrdONap1QF83tX22U3yuvrMv05ZERFEorJkhTyorKwEAer19zYder8fx48ctr4mLi0NSUpLTa+T3u7J48WI89thjlud1dXUMiCJJqHvgxOlEwGKbEZIdXS0yRqpurps4WpbfX8qWtDaK6yRdJYIdW94yNi0XgIT+DmPr5X3s8tSgnD2r2S0CGVdTZfps4Pi71u9qyAFGvyL+fspmWtt2NZntMfk7sws0EXVhERsMyVQqld1zSZKcjjny9hqNRgONRhOU8VEIhHpzTo0eaCh37iUk99pRqYFrXgQgicArtgeg7mm/Osyxk7Wr7IynjI1aC8QlAifesQ9iRr/mvkO2PhuI6y3+bjc1WA/8aDaw9yH79+mzgSELRJZKVrlVLKvPLACufsF+WhEAbt7nPNXo77QlEVGUidhgyGAwABDZn7S0NMvx6upqS7bIYDCgubkZtbW1dtmh6upqjBs3rnMHTMET6p3aNUlAj4HA1y/aZ4fk7MjOu0XGw3EazTYT4kt2xlPG5upVwL5HnM998aiYLoMEVBZaj+uzgeteBRKs/yw49UqyrZtSx4uM0M57rH2DZJVbgVaTmE50dW8cRdPWHUREAYjYmqEBAwbAYDCgsND6g9Dc3Izt27dbAp1Ro0YhNjbW7jVnzpzBoUOHGAxFs1Du1A5YOzi7Wop+6Dmxosuxj8+wJaLb8/kDwPlDwPmvgLYmkWGZegToe6sIVmzHfHQ1MPx3rr9H7zGuC6VbG8VU1bUviyxN1sfiz4wFYpNXT2zrplqbRKDnGAjJ/JlqjLatO4iI/BTWzFBDQwOOHTtmeV5eXo6ysjIkJyejX79+yMvLw7JlyzBo0CAMGjQIy5YtQ0JCAmbOnAkA0Ol0mDNnDhYuXIiUlBQkJyfj8ccfx4gRIyyryyhKhXJzTm+9dq5+wbmhoeOqM30WcNUysZKsWyygSREbtLoas6tjdYddfz4gApimM8C2ifbHs3f4/h2DOdUY6mlLIqIwC2swtG/fPkycaP0XvlzUPGvWLBQUFOCJJ55AU1MTHnzwQdTW1mLMmDHYunWr3bYfq1atglqtxvTp09HU1ISsrCwUFBRwI9muwNOWGR3hbRVUi02rBberzrYBZUtEFsa2OHnM675NP8Umex5Dt1jnY/4EHcGcagz1tCURUZipJEmSwj2IcKurq4NOp4PJZEJiYmK4h0Ohdv5L0d3ZnZv3iW0tALHsffs09691PG/I8a2g2FwrmkjW7BQBl20h94XTop/QgSXW1+uzgbH/sK8Z8nRtczUgAShdEJwVYFxNRkQRKFi/3xFbQE0UMt3iRXDhqmZHny2CCDkT4m15vON5XwuKNUnAmLVAwzFRp+RYyJ2xQEzRtTZeKp7+q2+BkG3QotaKQOvHT4qVbZrkwKcaQzltSUQUZgyGSHnazWLJOST76S991qXjMWJVmdTmvaGhq/O+FhSrtcDh5a4LuQEg53MxxrjevmeEbLM3cg+kw0t9z1h5EqppSyKiMIvY1WREIdNSL5acp2badH/+wNo5WgWxvD7jEaDHFb5tymrL19oeb0vWu8UCva70PRBqqgAGPiCW5g9bIoIt2+txw1UiIpeYGSLl0SRZsyautF0AxrwBHFkNnP1crCaT2hyySC4aGgL+FRQHa8m6q3oefZYYt22fIS6BJyJyicEQKY/X1VGpwJf51pqinfeI2psheeK5tj8QkwDsv7Sli9zJGgC0A3wfhy9L1s21NnU6vQBNH/upKnfdoeXALSPPGvRxCTwRkUsMhkh5HLtHy/TZQMbDQGs9UGXT/dkxizTlENDzCtFwsfms2AbDsQDal1VW3oKybvFixZmnFVzeeibJARyXwBMRucWaIYo+wdg9XV4dNfVrIGcXcOM20TNo5z2ipsiTlvPWvzvuBwZY9+zyNi5PnbavexVo/N65Bsjx2t6mvtouBq9zNxFRF8XMEAWft6mdjghmvxt5dVTdEWCrzfYtthuyuqLWWguWO7pnl6sl693igS+eABIHXeo/1ATobwQu+xmw/Rb7a3ub+koczI1UiYi8YDBEwRXK5ny+7p7uS52N7fn2dmtPH5m7DVb1WaJeaOcMkbXxON5zvn0v2yXr5lpg92xg4FwXW4Bki1Vv2260ZoS8TbXFpzMQIiLygtNkFDzegpVAprPsru9t9/RqEYztnAFsHgpszQQ2DxHPGyvE61yd3/+oWHklL0U//aHYYFWfZf8Z+ixxvHqn+DxvPYjaLvr3neVs0+CHgBityArZLo+vKgIOPCWKouWMUKg3tSUiUgBmhih4vAYrVfYZEH+n0rzVx7S3Afs8BGOj1wCVn4otMBzPS+3A0CeA9mYgeZQ4ftUyAN2ACxWi58+FM0BCuthVHhA9hjxlkKo+BhKMvgUkvi6Pr9wqOkrbFkOzOzQRUYcwGKLg8bVvTqBTaV6Xhrd6DsbqjgIn3nEOMADRT+jal4B9C5xXho16SQRJiUOBizXW9x1dLa4FuOhk/Yj4jL4e9jWT+bM8Hri0tYZDoMPu0EREAeM0GQWPr31zAp1Kk+tjXDHkAC2Nrs/J2i6KAOPISyLAsJWRB5Q+6nprjH0PAyfeBT4YCLTZfEZro3Mn65v3i87VcrDlS28fb8vj5R5GMo2XHe9dfkYQVuAREXVRDIYoeLwFKxq9b1Npbq/fwfoYucbHVYCRmulbQFL1sf3nyz2Itk8Dvn0VqPgP0E0tgqsbt10KQrwEH74sj5cF0i/IWx0VEZHCMRii4PElWOnoFhR2/YF2iz/HbxDHPQVjjvuIOe1Gr/L8ufLrj64Grvmj6+LqIY8A3/0NSLhMZGA+zgIKxzkHH45ZGnVPz58tB3GBFEWHuqidiKgLYM0QBZe3Yl5fptK8cVcfo0kCRv8Z2PNr9zU8MtuVYH1zAW0/z58pv761EbhwUmSKhuSJICmmuwi05G079j9u3cpDJgcf170G7PmVfXAy+jXPy+O1PxJBXyBF0f4UtRMRKRSDIQo+T8W8XvcF6+CWEXEpQL+7gSufAZovZT3kQEUufDbkAIk/BqYcBtAKIAb4YZeHlWE32WeVftgJnN3reqNX/Y3uN4Ct3Ao0fOf83b94VHSZll8jC0Z/pmBtBktE1IUxGKLQcbd83tW+YMHqi6NJAow3i6JnuXGhbYBjyAHGrAUgAXv/R4xhwgciIHG3Mmz0y0BDudgS4+hq4PxB4Lq/AnvmOX8Hb72Hml00YmxtFMv1Jx8ApJbgLo8PRiaOiKiLYzBEoeFt+XxH+uJ461GkTRebqJqrgVF/AtB6aWVXkvictotA3deig3TGAtFDSF4ZJu9Obzv9ZfoK+Ox2ERhN2Az0GASoE4BrVgEt50TNj7oHEJfsuQAccB8stTYC5hqxP1owhToTR0TUBTAYouDzdduMQLIevvYocnd9V++/8VJ9j+Pu9LIJH4g/q7aJjtCjXhIF0TU7RfAkrzTTDhABkafgw3a6zVEosjShzsQREXUBDIYo+EJVtOtrkOXv+6s+Eft+ORY9A86r0HqNENNjNTvFtJrj/mF9c4HRrwB7H3QOPq77K1D6iOuxhTJLww7VREQeMRii4AtV0a63IKvp0tJ1dz/yTWdEEDNsyaXd4C8CMfHAuVIxNabq5rAdxk3AqFVA/TdieqzmcyB1rAh+hi1xrkcCgFPviz8zC4BWk3Pwce0a8bny56i1wNWrgN5jxeeYe/m2NYm/2KGaiMgtBkMUfKEq2vUWRNV9A+xfJKZ/1D1EzVB7G4DWS92pJdfZHH0WkHItcOWzYt+vGI2o7TlbCmwdY12Fps8CDNni76mZ7leNnXofuPoFIHGI/XFzrehgPSJf9CpCjPisvQ8Ce39lfV0wVpEREZHPGAxR8AWraNexUNqX5oTylFm/GUB8qn32ZtJe19kc+fk1LwLxaYAqFvj8Xudps6ptwLDF4u9OTRsdOAZu7mqdhi12vXGsL9N+REQUFOxATcHX0W0zANdbSPyw07cO05VbgaQRzoFPu9l1HyFAHFd1E9mY1vOu64cAUV/kyxL6GI11Gw5PtU6HnnPeJ00+521lGhERBQUzQxQaHSnadRc8uGtO6KrDNOAc+DRVev7c1gbxp6fpuKOrgUmlQPUOD00as4AT/xbTaIYckXHytO/ZkDzX59gQkYioUzAYotAJtGjXXaF0ayOw826xJ1lLPdB8FohNBC6cFsGTXNsDWAMbWzEaz58b58OWIa2NYhuzfncChonA3oc8B2aVW4HG7z1/rrspNzZEJCLqFAyGKDS8NUb0xF1GRK0V02x7fu0cgIx53brlhj5LNFK0fV9GHtDd4Fstk9eapz7WQE/OfpnPiu0/HLf+8IWrKbdgL7XvyP8eRERdHIMhCj5fGyO64y4jkpHnuQA6I09slXHlsyIz9NMPRB1Q9z7AwXwxxTX+bUBqc7FFx6VaJnOttXN16QLvjQrloKimRNQ4ZeSJAEletl/zuVi67ym4unDa+VgwGyJ29H8PIqIuTiVJkhTuQYRbXV0ddDodTCYTEhMTwz2c6GauFUGBux9+dyukzLWiD1DLOUDTG9i3wPkaEz4Atk9z/9lTDgDqROc9w/TZwJAF1qkr267RcUnA+a8A42TxvGSOeK+cTdLfKDI3mmTPNU91R0WfIMdgTZ8FDH0M6DnYzZTaoyJYSr5GBFCJg4H49OAFQoH+70FEFAWC9fvNzBAFVyDdpx0zF2qt60Jpb1obRZ8h2/eotWK/r5gE4CfvAe0tIluzc4Z4/U3FwMHfidcmjbTuV1bzucgkyUXQ3oIGdSJw5E9uslYqYOw6cY2mM0Dj/4lzNbtFDZQ8pRaK4CRU3cCJiLqQiF9aX19fj7y8PPTv3x/x8fEYN24c9u7dazkvSRLy8/NhNBoRHx+PG264AYcPHw7jiBXO3+7TrlaOybu4p98B5JSIgGXyF4C2v+drq7XOgdD4t0XQ8XE28Mkkcd2a3eK4Wgu01InrV/xbNFgsvuvSa/YA49+xXtPbMvdWk4fl+EViub4mCej1Y6DXSODoyyLQsg2EQrFXWKi6gRMRdSERnxmaO3cuDh06hHXr1sFoNGL9+vXIzs7GV199hb59+2LFihVYuXIlCgoKMHjwYDz33HO46aabcPToUfTs6aVJHwWfY72PPN0kb3+hThABkPyj72nl2N55YmosPg0ovP7StJWbPcQMOXD6v7NjjZHtWCQAE7eKabLSx1zsV1YIqFTA0EXA1/8PaG8H6o64L0D2J+jozL3CQtUNnIioC4nozFBTUxP+85//YMWKFfjpT3+KgQMHIj8/HwMGDMBf/vIXSJKE1atXY8mSJbj99tsxfPhwvPnmm7hw4QLeeuutcA9fmeSVWIB9Zmb7NJF1+fBKMUXVeGkfMW9BRNtFMbWUkSemrYYsEAGRLTmr0i3G/nhqpn0gZDuWHdOAwvFAaR4w6FfivKPKrZemrt4G9j9q3wDS9jsA/gcdmiSxXUfqGPFnqKaqbP/3cBTKzWGJiKJIRAdDra2taGtrQ/fu9kuP4+PjUVxcjPLyclRWViInx/ove41GgwkTJmDXrl1ur2s2m1FXV2f3IB+Ya0V2pKbE2l3ZkW33aXerv+TtJsy13oMIedl5aualPkP3iABiygHRb2jq1yLLok0X2RrbQEyTKjJL1/9LZIEunAHO7ra/fuVW4MjLIgPkiloraoFcdY+WvwMQuUFHMLqBExF1cRE9TdazZ0+MHTsWzz77LIYOHQq9Xo+3334bJSUlGDRoECorRUdhvd7+h0av1+P48eNur7t8+XI888wzIR17l+PP8mx5Gqipwv1mppbiXQ89ffRZYtn5hRNA0lXiWGujuGbaJLFk3na6Sv7h3/cwMHAucOD3YrrL9nrj33buA1RVCFy9XEyHOfUHktzXAjkWIA9bLPobJV1lnRaMSxZBWTh15rQcEVEUiujMEACsW7cOkiShb9++0Gg0+NOf/oSZM2ciJsY6JaJSqezeI0mS0zFbixcvhslksjwqKircvpbgeW8t2+yILU0S0Nrk+brNJveZC30WMPx3gPYyMT3m2JiwxeR6ukrdAxjymMj22AZCgMhQHXnJ9V5g8lSc4xhcdbK2+w6Xvru5SqwMG/F7UXwtTwt+nAXsf0x0yw6nzpqWIyKKQhGdGQKAK664Atu3b0djYyPq6uqQlpaGu+++GwMGDIDBYAAAVFZWIi0tzfKe6upqp2yRLY1GA43Gy9YMZBXo8mzbKTDHQuqYeFGIbK4VmYvMAuBCBdB2QQQ0AHD6Q+DrFUBKpnUTVkAETrabstru8G6uEgGMYyAk87QXmNx7CLAGY7FegobWi0DDcfGdfvr/AWW/cx2E7X3I9bJ5doYmIgq7iA+GZFqtFlqtFrW1tdiyZQtWrFhhCYgKCwtx9dVXAwCam5uxfft2vPDCC2EecRcS6PJseQqsZqeYnjrykv20mf4mYPhvgR4DRQZIanXOQDk2TNRnAyOfBbbdaH1N5Vag6ZQIIprrXRdD23LcC0ze8d6QLeqLYrqL6bmEdDHN5WkaL7anGHNVkahPcheEuQoa2RmaiCgiRHwwtGXLFkiShIyMDBw7dgyLFi1CRkYG7rvvPqhUKuTl5WHZsmUYNGgQBg0ahGXLliEhIQEzZ84M99C7Dq9FzhpRUO2Y1ZCnwE5/5GYbjUuBwzX/T2SFNMkiQ9RaJ/b6ajOLLI9KLY7HJYtl9o3HxXN5u4vv/iYCnPNfAVIzEKsDhi0R02uu9giznXKz3Vi1311Ae7NozAgVEKO1fgenIC0LuGqZ2OZDrilyt+GqzDZo9Db1yM7QRESdJuKDIZPJhMWLF+PkyZNITk7GHXfcgaVLlyI2VmzE+cQTT6CpqQkPPvggamtrMWbMGGzdupU9hoLJW5HziX9bOzU7ZjW06UDv8cDeX7m+dlWhCITkbTbka/TOsJ9CSkgXU2j75tsHVcZbgBu3iV5BdsXS2a6LpQ03iQ1b5QyQvLFqSiZw4l/ie8gBUqsJgEF8h2tWic7RbRet7zOfBU7/13ptVxuu2rINKtkZmogoYnBvMnBvMp+4mtKxzap42lKipkT053Hn+n8Bu2fb7BmmArSXi+DCfA6ISxTbaex9EDi92f69w5aI67ta8aXPFgXD8tScPgu47lWg9FH76+hvAkatEnuLdYsVgc7R1SLISh0jXlN3RPQZchx38V0OY9ntnAFzdV+83ZOc3dbPJiIil7g3GXUu2+XZ5rNiFZWcVbHNvLjKanibZpMbIjrVFF0Ktj6eCKSOBzIeBqo/sf+81Ez3y/erioCrnxdL3eVsTtMZsQfZoHmiULu1QRzfOsZ5Ss2uAFwngqPmc9bpOcfapKOrxfcA7AMiVz192BmaiChiMBgi32mSxKOmxPPu8Y4F1d6m2dpbgaOuaoouPc/IswY8NxaJYEzeSNVbnU5DuTV7Y8gRmR/5Wt4yOXKjRHdZsctyAeNUa5ZJbgqZkQcM+y2gjhfbfbjq6ePpnrAzNBFRp4r4PkMUgQLZesJdL6EhjwCqbq4DEkAcl5e8V24FzDX2m63GxHsei1zHo88STRFTRlszOkdXi8/XZ9m/xzaT467QuWobcOAp4NqX7b9XayNwdi/QcxCQOtZ9Tx92hiYiihjMDJF77nrguJoyklduuctqWLpSnwFaagF1T5Fh2nmPWBnmiW32R/67HDwNecxLhuXSlhw1u0UQlZJpzTTZZnKG5F3K4qTYZ3K8FTq3Xwy8uzM7QxMRRQQGQ0riT4M/V1NDfXOBa1aKQmbHKaPxbwPHXgeuXeP+mvI0mywuCaj4t/dVWLbnbTNBVdvEKq9hiwGpzT67pM8SNUYfZztsveHQdFHe3sNV4TfgW4+ljnR0drwnRETU6RgMKYU/Df7cTQ31GgHs+bXzyq2qbYAqRmR4EtLgMzkz0nzOc02R3G1anw1I7Q4vaBMZHzm703ZRrEQ7ucm5uNsdT1NTvhR/ExFRVGPNkBL4u7eYu6mh1EzPm5a2esmiuCO1AqP+5L6m6Ohqce6qpaLBo63WBmt2R94P7GKldRrMFe0Aset99g5gypciiHPX8dnTbvT6LOCHz13vzUZERFGDmSEl8LfBn7upIX86LPtCzlbV7ASufxdIvwMYuVTsUt/jCgCSWA02foPIDn21Ahi5DJiwGWhrAuIu1feotfaBT81uEai4WyX2wy77JpCetsDQJAGj/3wpI+YwDSf3WNL/hFNdRERRjMGQEvi7t5i7qSF/Oix7Y5utGrYE+HqlCDYmfACc2w9884p98CH3Itr7kH12ypAjgqPtU60BkaXfj8r+tfosUfO01aGZobctMMy1IismT8PZdq5ubfQ/CCQioojCYEgJ/F4K76YHTs1uUbfjaqrMl944tgXc6njr9W0bJ9bsBvQTnRspZuS53t9MvsbVq6zZntZG4Nu/AlctBy7miSySHMBcOOF6+szTFhhxPd03dgQcttngLvRERNGGwZAS+Nvgz93mpOcPiu0sHFeT+dIbx7GA+/p/Wc/ZTr8dXS12j3fkqdN05Vaxqmzq16IzdmsTUPUxsO0Gh33J3NT+yNxleHy9f9yFnogoKjEYUgJ3wY2nIMZTDxx/e+O4KuC2Wy5v8/fWRteZG2/1Sq311r28GiuAr15wDoRG/xn436vcX8NdBs2X+8dd6ImIohaDIaUIpMGfux44/vbGaT4HZMwHBj5gbdJ4rtRa5OxY8FzzuXMBtD/1Su6+KyD2OPM1Q+Y45ZVZALTWAc3nne8fd6EnIopaDIaUpLMb/JlrgaZTwIUKoHua6NbcVAnobwRidUDKpUyO4wan8nNVjDXA8Ldeyd139TVD5mnKKzXD+br+FqkTEVHEYDBEoWG7bH7820DZkw5L07OBq5YBfX4KjFoJtJqB6/4KtJnFlFdcLxF41H8rMktqrdgYtUzyviO8J75kyAKZ8uIu9EREUYvBELkX6Moox2XzrlaBVRUBB7oB6XcC8emerytfS6217ggf0x3QJAe2l5e3DFkgU17chZ6IKGoxGOoqgr2ku+F7YM+8wFZGNZ1yvWzeUeVW4JoXPY8zkFqnC2eA5h+s9yIu1b9tQgKZ8gqkSJ2IiCICg6GuwFN9i7qHc5AEeA6cGo4DJQ841+f4sjLKXAuYz1qfe10F5sPeYf7UOtV/57x/mrySzGwC4np4DxQDnfLiLvRERFGJwVC081bfkn6n89YTwxbbd2y2zfiYa4GG7zzvQWY7TeSYkVKp7Tcv9WUVmKeslreMl+15TTKw5yHXQdye/xFNGD8aJVaUecpwdWTKi7vQExFFHW7UGu281bc4Tg9VbgUOPSdqb2yPyRu2mqtEwbIn8jRRYwWwcwaweSiwNRPYPEQ0ZFRrxdJ4wLps3hVDDtAt3vkaO2cAjSddX3/nDHHc1efXHQWqCl1/VlUR0GIS39vdBrUyecrLsUkjp7yIiLokZoainbf6FlfTVFXbxD5btuSMT7PJms2RC5ZTMy/tyXWpR1BcL88ZqR8+B4b/Tjx3XDYvM+SIbtZfPOH6Gqf/F6j4t/uMV2aB8+d73Uj20h5jtt/XXWDDKS8iIsVgMBTtvNW3uJumchU4yD/6pz4AjLcAg+aJlWC2BdD6bOCKuYC52n1Gav8CIGcv0G+6CLqkdmD0X0S/oeZz1n3CSvOAgXOBM/91rh1KSPOyousH5/PepuRiutt/72abzJC76TgGP0REXR6DoWjnqb5FnyWCDldcBQ5y9uP8QWBEPlC22PWS+D3zxF5g7rQ2Ahe+F5uiJhiB7n2AfQ8BlS6msFobRfbJccWZtyxPy3nnYzW7vd8LOTMEWGubuKcYEZGisWYo2nmqbxn+OzFN5chVkCQXBmuSgGvXAC31nouo0ep5XAn9gQG/ADS9AXWC60AIEMGWbYAi85bliXWRETu6Ghj5rMhe2dJnAUMeAWrLrN9bnwVA7b0A3V1dERERdRnMDHUFcn1L0ymg8Xtx7Fwp0HYBSBnrvMxcXk1me8y2MFibDlw46fkzWxuB0a+J6SzbeqKjq8Vqrfg06/VqSjxfq1scMOED++tc/AHQ3+S6IFqfBcQmOmeBWhuB7dOAiYWAucZ+Su7bv4ppv533WIOjbjHcU4yIiBgMdSn7F9r/sFs6Ni8G1PFAXJJ1WfjN+zwXBnsLANQ9nQuc9VnAhM1Aj4H27/dW16SKEUGM5TrZwIBfAj0HAmh32MYjS2S8uiWI3kF7H7IfQ6+rgLhkICEdaDoDNJYDxsnAZT8TNUvjN4jg6Njrogi7/hvPY+OeYkREXR6Doa7CVYajtVHU4hxeCkz9GkgcYj3nLdjx1mvnh8+dz1VtE4HN+A32x7vFu99kVZ8NVH3icJ0isUT/mtVAv7tFEXbbRZHluXBGTMHt/ZX4vIw8IGO+eJ/2ciC+r/W7aZKA2J6eu0KbuacYEZHSMRjqKoK5a7q5VqwWG/UnoHSBcyAx+s/A/17l+r2umjKWLgCGLAAgudisdSmw7Ubn61RtA1TdgL5T7bfW6DUS2P84cOp98TrbwmtDjnMg5m2JPPcUIyJSPAZDXUWwdk23XVklT7P9+En7jVHrj3neRsM28DJXicBFzuLYZnlqdoutO1xdS60VWabds52DsYyHXS/Hd7uJqocl8txTjIhI8RgMdRXByHA4rqyynWbrmwuMflUEG5JZ1AbJBdOOQYlt4CUHRvK1HF3/L9djychzzkoB4rnU5no5vu3n+YMNFomIFI3BUFcRjAyHu5VVaq1ojuiYpdFnie7SO++x3+fMNvDymrFyMy79je53u3fVQdvXz3OHDRaJiBSLwVBX0tEMh7usSkae6ETt1IBxm/X84aWuAy9vTSFjdc7F1YYc732GXDVlZI0PEREFIKKbLra2tuJ3v/sdBgwYgPj4ePzoRz/CH/7wB7S3t1teI0kS8vPzYTQaER8fjxtuuAGHDx8O46jDTJMkVo2ljhF/+pPtcJdVSc10DoRkVduAfneK1WqZBaK3UU2J2DTVXOu5KeToP4t+QWP/Id6fs1v8OX6DqE/yOFaH86zxISKiAEV0ZuiFF17Aq6++ijfffBPDhg3Dvn37cN9990Gn0+GRRx4BAKxYsQIrV65EQUEBBg8ejOeeew433XQTjh49ip49e4b5GwSJu32zgs1dFsfb1hhtZiAuxXWxs7ylhdeMVZrzdT3VQCUOFYETa3yIiKiDVJIkSeEehDtTp06FXq/H2rVrLcfuuOMOJCQkYN26dZAkCUajEXl5eXjyyScBAGazGXq9Hi+88ALmzZvn0+fU1dVBp9PBZDIhMTExJN8lYP7smyUHTeZaILYHgBigm1psieFroODq824sAj7Odv+eyQdENuiLR52LqeXl7oEEKq7GIjdd7DEQ0F7m/zWJiKjLCNbvd0RPk11//fXYtm0bvvlGdAk+cOAAiouLMWXKFABAeXk5KisrkZNjnYLRaDSYMGECdu3a5fa6ZrMZdXV1do+I5M++WY0VwM4ZwOahQOE44MMrxWqs+qMiY9NY4dtnqnsA6XeK7TGu/5f4s/XCpb28XNBnASfeBU68I4qp5c1PbcdqrvL5K3sdS2qm2EqkZA73DSMioqCI6GmyJ598EiaTCUOGDEFMTAza2tqwdOlS3HPPPQCAyspKAIBeb180q9frcfz4cbfXXb58OZ555pnQDTxYfN03y13QJNf5pGaK875kaMxVoruzLbVWBDq21wSse3zZriZzteRdLsz2d7rP1Vhk3DeMiIiCJKIzQ++88w7Wr1+Pt956C/v378ebb76JP/7xj3jzzTftXqdSqeyeS5LkdMzW4sWLYTKZLI+KCh+zJp3N167SnoImeVd4XzM0rj6ztVEEPKmZwOQv7LM0toGQqx3o1VpAkwqcPwTU7ATqvwNOfQB8NEpksjxlrILZVZuIiMiNiM4MLVq0CL/5zW8wY8YMAMCIESNw/PhxLF++HLNmzYLBYAAgMkRpadYC3OrqaqdskS2NRgONRhPawQeDr12lvQUFcgG0L8GDu8+Umyb2uxMovsv7ZwEiEJqwWewz5q4/kbuMlblWbC57/b+sO9k7NnjkvmFERBQEEZ0ZunDhArp1sx9iTEyMZWn9gAEDYDAYUFhYaDnf3NyM7du3Y9y4cZ061pCQV3e5YttTx1tQIPfs8SV48PaZai8r9Gz7A129Cji83PX03ZGXxJSaq4yVXP/04UgReG2fKrbusK1JYk8hIiIKkojODE2bNg1Lly5Fv379MGzYMHzxxRdYuXIl7r//fgBieiwvLw/Lli3DoEGDMGjQICxbtgwJCQmYOXNmmEcfBK2NwLDFYvsJ21odx5463hob1uz2PXjw1sla3cP+s+T9y+TpMe3lwJTDQLcYoL3Nfc2PbRdpu73MvNQ/ZeQBZ/cG1lOos1oUEBFRVInoYOjll1/GU089hQcffBDV1dUwGo2YN28efv/731te88QTT6CpqQkPPvggamtrMWbMGGzdujX6ewyZa8WKqZqdzhucXjgjghKZuwBGLnA+9rr34MEuUEgSDRRbTa77+MifVbNTZGuOvOS8e/yY14HmSs/fUZ5Ss81Yeat/GrUSGLLQ/yDGnxYFRESkKBHdZ6izRGSfobojYpm8O1O/Fh2mLUFMveja3GYWQYxaC0AtMjTeMiCBBArmWqD5nH09kKss0fENrjdzBUQR9tGX7WuGakqArZnOr5Xl7Bbdtf1hrhXTbu4aOAbaB4mIiMIqWL/fEZ0ZUjRfVlIFI9vhrZeRu0BBk2SfxZGX3ztmifTZzpu5AiJrdeGMc8bK16Jxf/jaooCIiBQpoguoFc3bj766p+8NGT3xJVBwxzZgc7uZaxFwdA0wzqH4+bpXxco0x6DN16Jxf3CJPhERecBgKFJ5CwpiNIEHMbY6EijYBmyeNnOt3CoCoUmlwNQjItvUc6D7jJO7jV0D3Yg1FNkmIiLqMjhNFqm8repq8lKc7LhCy90qqo4ECrar2Lxt5tp8DvjqBd/qc3za2NUPnlbbcYk+EZHiMRiKZJ6CgjYXBcm25CDGW12Rr4GCu4BKDths+wu5EtNdfEZTBVD/jful7Y6f03Nwx+t5vAWWrBciIlI0BkORTpPkZjrJhyDG1+Job4GCt4Bq/AaR+fHW6wgA6r6xdrB2LPYO5fL3YGebiIioy+DSekTo0npPzLWAuRqQVED1diAh7VIPonjgwmnAOBnQXub78nzLNV0ECv4sS3cVzDhu5jrhA2D7NOdrAFz+TkREfuHSeqWSA46ancD4d4AT74oVWzJDDmC8Wfzdn+Jodxkof5ala9NFs8a6r0WmKKa7yAjJgZBthsjxGvLfffkcIiKiIGIwFE1sp72GLQGOrHJewWU7BRaMVVT+rjZLSAOkVs8ZIn8/w9fXEBERBYDBUDSxzdKkZto3N7RlyaQEYRVVIAGVY32OOh44/q5z40VfP8PX1xAREQWAfYaiiW12xN1SdrVWZI3aLopVW9esBEa/Zm14CPi3iirQJoiaJFGPlDoGiE8Xm6u6CoTka4Si2SIREZEPmBmKJrbZEVdL2d1tiWHIASaXiWm2uJ7+raIKxrJ0X6/B5e9ERBQGXE2GTlhN5qnpob/XkVdcDVsiipFta4ZcHZN1dEWWu9Vmwb5GMD6HiIgUgavJokUwe+fYZliOrhZZIMAa/PhURxRoF2c3q82CfY1gfA4REZEfGAyFUqA7wntiV5xcD1z3V6DNDLTWA1KL5/dyRRYREZETBkOh5E+PHn/YZk/kaSUAiPWSIuSKLCIiIidcTRZKHdkR3heNJ4ET/wbqjwEXKoC2FsBwk+vXckUWERGRS8wMhVIwmh66Y64FGo4BJ96x1gyptcCEzQBUXJFFRETkIwZDoRSMpofuNJ8DDj1nv3KstRHYPhW4eiVwzR+B1gtckUVEROQFp8lCSV795dhMMBiZmtZ610voWxuBvfMAqU00PEwc4tvnmGvFxq41JUDdUfGciIhIAZgZCjXHrSmClalpbfBy3kW3Z3eCufyfiIgoyjAY6gyh6J0Tm+zlvI+fF4rl/0RERFGE02TRKj7N815e8Wm+XceX5f9ERERdGIOhaBWseqRQL/8nIiKKcJwmi2bBqEcK5fJ/IiKiKMBgKNp1tB4plMv/iYiIogCnyZQulMv/iYiIogAzQxS65f9ERERRgMEQCaFY/k9ERBQFOE1GREREisbMUKQy19pMW/UCNH2YuSEiIgoBBkORiNtjEBERdZqInya7/PLLoVKpnB4PPfQQAECSJOTn58NoNCI+Ph433HADDh8+HOZRd4C37TG4gSoREVFQRXwwtHfvXpw5c8byKCwsBADcddddAIAVK1Zg5cqVWLNmDfbu3QuDwYCbbroJ9fX14Rx24Lg9BhERUaeK+Gmy3r172z1//vnnccUVV2DChAmQJAmrV6/GkiVLcPvttwMA3nzzTej1erz11luYN2+ey2uazWaYzWbL87q6uuAPPNCaH26PQURE1KkiPjNkq7m5GevXr8f9998PlUqF8vJyVFZWIifH2jBQo9FgwoQJ2LVrl9vrLF++HDqdzvJITw9yHU5jBbBzBrB5KLA1E9g8RDxvrPD+Xm6PQURE1KmiKhjatGkTzp8/j9mzZwMAKisrAQB6vf2WEXq93nLOlcWLF8NkMlkeFRU+BCm+6mjNj7w9hivcHoOIiCjooioYWrt2LSZPngyj0Wh3XKVS2T2XJMnpmC2NRoPExES7R9B0tOaH22MQERF1qoivGZIdP34cRUVFeO+99yzHDAYDAJEhSktLsxyvrq52yhZ1mmDU/HB7DCIiok4TNZmhv//97+jTpw9uueUWy7EBAwbAYDBYVpgBoq5o+/btGDduXDiGGbyaH00SkDgESB0j/mQgREREFBJREQy1t7fj73//O2bNmgW12prMUqlUyMvLw7Jly7Bx40YcOnQIs2fPRkJCAmbOnBmewbLmh4iIKKpExTRZUVERTpw4gfvvv9/p3BNPPIGmpiY8+OCDqK2txZgxY7B161b07NkzDCOFtebHXQdpZniIiIgiikqSJCncgwi3uro66HQ6mEym4BVT2/UZYs0PERFRsAXr9zsqMkNRSZPE4IeIiCgKREXNEBEREVGoMBgiIiIiRWMwRERERIrGYIiIiIgUjcEQERERKRqDISIiIlI0BkNERESkaAyGiIiISNEYDBEREZGiMRgiIiIiReN2HADk7dnq6urCPBIiIiLylfy73dFtVhkMAaivrwcApKenh3kkRERE5K/6+nrodLqA389d6wG0t7fj9OnT6NmzJ1QqVbiHEzJ1dXVIT09HRUVFh3b37ap4fzzj/fGM98cz3h/PeH88c3d/JElCfX09jEYjunULvPKHmSEA3bp1w2WXXRbuYXSaxMRE/sPmAe+PZ7w/nvH+eMb74xnvj2eu7k9HMkIyFlATERGRojEYIiIiIkVjMKQgGo0GTz/9NDQaTbiHEpF4fzzj/fGM98cz3h/PeH88C/X9YQE1ERERKRozQ0RERKRoDIaIiIhI0RgMERERkaIxGCIiIiJFYzDUBdXX1yMvLw/9+/dHfHw8xo0bh71791rOS5KE/Px8GI1GxMfH44YbbsDhw4fDOOLQ2rFjB6ZNmwaj0QiVSoVNmzbZnfflfpjNZsyfPx+pqanQarXIzc3FyZMnO/FbhIa3e/Pee+9h0qRJSE1NhUqlQllZmdM1uuq9ATzfn5aWFjz55JMYMWIEtFotjEYjfvnLX+L06dN211Dq/QGA/Px8DBkyBFqtFklJScjOzkZJSYnda5R8f2zNmzcPKpUKq1evtjuu5Psze/ZsqFQqu0dmZqbda4J1fxgMdUFz585FYWEh1q1bh4MHDyInJwfZ2dk4deoUAGDFihVYuXIl1qxZg71798JgMOCmm26y7NHW1TQ2NmLkyJFYs2aNy/O+3I+8vDxs3LgRGzZsQHFxMRoaGjB16lS0tbV11tcICW/3prGxEePHj8fzzz/v9hpd9d4Anu/PhQsXsH//fjz11FPYv38/3nvvPXzzzTfIzc21e51S7w8ADB48GGvWrMHBgwdRXFyMyy+/HDk5Ofjhhx8sr1Hy/ZFt2rQJJSUlMBqNTueUfn9uvvlmnDlzxvL48MMP7c4H7f5I1KVcuHBBiomJkTZv3mx3fOTIkdKSJUuk9vZ2yWAwSM8//7zl3MWLFyWdTie9+uqrnT3cTgdA2rhxo+W5L/fj/PnzUmxsrLRhwwbLa06dOiV169ZN+uijjzpt7KHmeG9slZeXSwCkL774wu64Uu6NJHm+P7I9e/ZIAKTjx49LksT748hkMkkApKKiIkmSeH8kSZJOnjwp9e3bVzp06JDUv39/adWqVZZzSr8/s2bNkm699Va37wnm/WFmqItpbW1FW1sbunfvbnc8Pj4excXFKC8vR2VlJXJyciznNBoNJkyYgF27dnX2cMPOl/tRWlqKlpYWu9cYjUYMHz5ckffMFu+NPZPJBJVKhV69egHg/bHV3NyM1157DTqdDiNHjgTA+9Pe3o57770XixYtwrBhw5zOK/3+AMCnn36KPn36YPDgwXjggQdQXV1tORfM+8NgqIvp2bMnxo4di2effRanT59GW1sb1q9fj5KSEpw5cwaVlZUAAL1eb/c+vV5vOackvtyPyspKxMXFISkpye1rlIr3xurixYv4zW9+g5kzZ1o2kuT9ATZv3owePXqge/fuWLVqFQoLC5GamgqA9+eFF16AWq3GggULXJ5X+v2ZPHky/vnPf+Ljjz/Giy++iL179+LGG2+E2WwGENz7w13ru6B169bh/vvvR9++fRETE4NrrrkGM2fOxP79+y2vUalUdu+RJMnpmJIEcj+Ufs88Udq9aWlpwYwZM9De3o5XXnnF6+uVdH8mTpyIsrIy1NTU4G9/+xumT5+OkpIS9OnTx+17lHB/SktL8dJLL2H//v1+f1cl3B8AuPvuuy1/Hz58OK699lr0798f//3vf3H77be7fV8g94eZoS7oiiuuwPbt29HQ0ICKigrs2bMHLS0tGDBgAAwGAwA4Rc3V1dVO2REl8OV+GAwGNDc3o7a21u1rlIr3RgRC06dPR3l5OQoLCy1ZIYD3BwC0Wi0GDhyIzMxMrF27Fmq1GmvXrgWg7Pvz2Wefobq6Gv369YNarYZarcbx48excOFCXH755QCUfX9cSUtLQ//+/fHtt98CCO79YTDUhWm1WqSlpaG2thZbtmzBrbfeagmICgsLLa9rbm7G9u3bMW7cuDCONjx8uR+jRo1CbGys3WvOnDmDQ4cOKfKe2VL6vZEDoW+//RZFRUVISUmxO6/0++OKJEmWaQ4l3597770XX375JcrKyiwPo9GIRYsWYcuWLQCUfX9cOXv2LCoqKpCWlgYguPeH02Rd0JYtWyBJEjIyMnDs2DEsWrQIGRkZuO+++6BSqZCXl4dly5Zh0KBBGDRoEJYtW4aEhATMnDkz3EMPiYaGBhw7dszyvLy8HGVlZUhOTka/fv283g+dToc5c+Zg4cKFSElJQXJyMh5//HGMGDEC2dnZ4fpaQeHt3pw7dw4nTpyw9M45evQoAPFfZAaDoUvfG8Dz/TEajbjzzjuxf/9+bN68GW1tbZYMY3JyMuLi4hR9f1JSUrB06VLk5uYiLS0NZ8+exSuvvIKTJ0/irrvuAtC1/9kCvP/z5Rg8x8bGwmAwICMjA4Cy709ycjLy8/Nxxx13IC0tDd9//z1++9vfIjU1FbfddhuAIN8fv9aeUVR45513pB/96EdSXFycZDAYpIceekg6f/685Xx7e7v09NNPSwaDQdJoNNJPf/pT6eDBg2EccWh98sknEgCnx6xZsyRJ8u1+NDU1SQ8//LCUnJwsxcfHS1OnTpVOnDgRhm8TXN7uzd///neX559++mnLNbrqvZEkz/dHbjfg6vHJJ59YrqHU+9PU1CTddtttktFolOLi4qS0tDQpNzdX2rNnj901lHp/XHFcWi9Jyr0/Fy5ckHJycqTevXtLsbGxUr9+/aRZs2Y5ffdg3R+VJEmSf+ETERERUdfBmiEiIiJSNAZDREREpGgMhoiIiEjRGAwRERGRojEYIiIiIkVjMERERESKxmCIiIiIFI3BEBERESkagyEi6tIKCgrQq1evcA+DiCIYO1ATUdSaPXs2zp8/j02bNtkd//TTTzFx4kTU1tZCo9Ggvr4effr0Cc8giSjicaNWIurS4uPjER8fH+5hEFEE4zQZEXVpjtNk+fn5uOqqq/DXv/4V6enpSEhIwF133YXz58+HbYxEFF4MhohIcY4dO4Z3330XH3zwAT766COUlZXhoYceCvewiChMOE1GRFFt8+bN6NGjh92xtrY2j++5ePEi3nzzTVx22WUAgJdffhm33HILXnzxRRgMhpCNlYgiE4MhIopqEydOxF/+8he7YyUlJfjFL37h9j39+vWzBEIAMHbsWLS3t+Po0aMMhogUiMEQEUU1rVaLgQMH2h07efKkX9dQqVR2fxKRsrBmiIgU58SJEzh9+rTl+eeff45u3bph8ODBYRwVEYULgyEiUpzu3btj1qxZOHDgAD777DMsWLAA06dP5xQZkUJxmoyIFGfgwIG4/fbbMWXKFJw7dw5TpkzBK6+8Eu5hEVGYsAM1ESlKfn4+Nm3ahLKysnAPhYgiBKfJiIiISNEYDBEREZGicZqMiIiIFI2ZISIiIlI0BkNERESkaAyGiIiISNEYDBEREZGiMRgiIiIiRWMwRERERIrGYIiIiIgUjcEQERERKdr/D/oKdn7grb3RAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(data = df, x = \"Hip\",y = \"Abdomen\", color=\"orange\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:15.871957Z",
+     "start_time": "2024-06-16T13:39:15.867637Z"
     },
-    {
-      "cell_type": "code",
-      "source": [
-        "X = data\n",
-        "y = df['BodyFat']"
-      ],
-      "metadata": {
-        "id": "0afg1oMA6Qu4"
-      },
-      "execution_count": 11,
-      "outputs": []
+    "id": "7BN6_59m3p2g"
+   },
+   "outputs": [],
+   "source": [
+    "data = df.copy()\n",
+    "data = data.drop(columns=['BodyFat','Density'], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:17.662145Z",
+     "start_time": "2024-06-16T13:39:17.513660Z"
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 296
     },
+    "id": "5mzPZhFl-xaL",
+    "outputId": "83b45409-99d6-4081-85c7-035dbd1e32f8"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "source": [
-        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)"
-      ],
-      "metadata": {
-        "id": "KJ3g2OSf7Qrh"
-      },
-      "execution_count": 12,
-      "outputs": []
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='BodyFat', ylabel='Count'>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
     },
     {
-      "cell_type": "markdown",
-      "source": [
-        "Linear Regression"
-      ],
-      "metadata": {
-        "id": "OMiNYwvK8E-D"
-      }
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.histplot(data=df, x='BodyFat')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:18.819159Z",
+     "start_time": "2024-06-16T13:39:18.328518Z"
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 524
     },
+    "id": "t03vV8WN3tWA",
+    "outputId": "45e2c965-6742-490f-ae04-520c608c333d"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "source": [
-        "regr = LinearRegression()\n",
-        "regr.fit(X_train, y_train)\n",
-        "y_pred = regr.predict(X_test)\n",
-        "score = regr.score(X_test, y_test)\n",
-        "rmse = mean_squared_error(y_test, y_pred, squared=False)\n",
-        "print(f\"Score --> {score}\")\n",
-        "print(f\"RMSE --> {rmse}\")"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "s9X4wEg78Ayx",
-        "outputId": "79409065-3eae-406e-d77d-2dc0871ef9b1"
-      },
-      "execution_count": 13,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Score --> 0.6353780797292594\n",
-            "RMSE --> 4.451317843688742\n"
-          ]
-        }
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "features = list(data.columns)\n",
+    "correlation = df[features].corr(method='spearman')\n",
+    "plt.figure(figsize=(10,10))\n",
+    "sns.heatmap(correlation, annot=True, vmin=-1, vmax=1)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:19.826628Z",
+     "start_time": "2024-06-16T13:39:19.822833Z"
+    },
+    "id": "0afg1oMA6Qu4"
+   },
+   "outputs": [],
+   "source": [
+    "X = data\n",
+    "y = df['BodyFat']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-06-16T13:39:28.873120Z",
+     "start_time": "2024-06-16T13:39:28.847767Z"
     },
+    "id": "KJ3g2OSf7Qrh"
+   },
+   "outputs": [],
+   "source": [
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "OMiNYwvK8E-D"
+   },
+   "source": [
+    "Linear Regression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "s9X4wEg78Ayx",
+    "outputId": "79409065-3eae-406e-d77d-2dc0871ef9b1"
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "source": [
-        "Lasso"
-      ],
-      "metadata": {
-        "id": "KPR9lQ6z8Yth"
-      }
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Score --> 0.6353780797292593\n",
+      "RMSE --> 4.451317843688743\n"
+     ]
     },
     {
-      "cell_type": "code",
-      "source": [
-        "lasso_regr = Lasso(alpha=0.5)\n",
-        "lasso_regr.fit(X_train, y_train)\n",
-        "cv_score = cross_val_score(lasso_regr, X_train, y_train, cv=10)\n",
-        "print(f\"CV Score --> {np.mean(cv_score)}\")\n",
-        "rmse = mean_squared_error(y_test, y_pred, squared=False)\n",
-        "print(f\"RMSE --> {rmse}\")"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "ymfxCE908KP6",
-        "outputId": "ef7dada0-3778-4a14-e815-96fdd1184ec4"
-      },
-      "execution_count": 14,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "CV Score --> 0.6952036136550136\n",
-            "RMSE --> 4.451317843688742\n"
-          ]
-        }
-      ]
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ksprateek/anaconda3/envs/myEnv/lib/python3.12/site-packages/sklearn/metrics/_regression.py:483: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "regr = LinearRegression()\n",
+    "regr.fit(X_train, y_train)\n",
+    "y_pred = regr.predict(X_test)\n",
+    "score = regr.score(X_test, y_test)\n",
+    "rmse = mean_squared_error(y_test, y_pred, squared=False)\n",
+    "print(f\"Score --> {score}\")\n",
+    "print(f\"RMSE --> {rmse}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "KPR9lQ6z8Yth"
+   },
+   "source": [
+    "Lasso"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
     },
+    "id": "ymfxCE908KP6",
+    "outputId": "ef7dada0-3778-4a14-e815-96fdd1184ec4"
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "source": [
-        "Ridge"
-      ],
-      "metadata": {
-        "id": "kNuCEm6J8nrj"
-      }
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CV Score --> 0.695203613655014\n",
+      "RMSE --> 4.451317843688743\n"
+     ]
     },
     {
-      "cell_type": "code",
-      "source": [
-        "ridge_regr = Ridge(alpha=0.5)\n",
-        "ridge_regr.fit(X_train, y_train)\n",
-        "cv_score = cross_val_score(ridge_regr, X_train, y_train, cv=10)\n",
-        "print(f\"CV Score --> {np.mean(cv_score)}\")\n",
-        "rmse = mean_squared_error(y_test, y_pred, squared=False)\n",
-        "print(f\"RMSE --> {rmse}\")"
-      ],
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "fCCV8haF8kC4",
-        "outputId": "ee244cae-8ff5-48cb-e537-e76b0010e694"
-      },
-      "execution_count": 15,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "CV Score --> 0.6704406440872133\n",
-            "RMSE --> 4.451317843688742\n"
-          ]
-        }
-      ]
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ksprateek/anaconda3/envs/myEnv/lib/python3.12/site-packages/sklearn/metrics/_regression.py:483: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "lasso_regr = Lasso(alpha=0.5)\n",
+    "lasso_regr.fit(X_train, y_train)\n",
+    "cv_score = cross_val_score(lasso_regr, X_train, y_train, cv=10)\n",
+    "print(f\"CV Score --> {np.mean(cv_score)}\")\n",
+    "rmse = mean_squared_error(y_test, y_pred, squared=False)\n",
+    "print(f\"RMSE --> {rmse}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "kNuCEm6J8nrj"
+   },
+   "source": [
+    "Ridge"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
     },
+    "id": "fCCV8haF8kC4",
+    "outputId": "ee244cae-8ff5-48cb-e537-e76b0010e694"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "source": [
-        ""
-      ],
-      "metadata": {
-        "id": "BecgHuNl8uJx"
-      },
-      "execution_count": 17,
-      "outputs": []
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CV Score --> 0.6704406440872163\n",
+      "RMSE --> 4.451317843688743\n"
+     ]
     },
     {
-      "cell_type": "code",
-      "source": [
-        ""
-      ],
-      "metadata": {
-        "id": "FrqaaDtF88fK"
-      },
-      "execution_count": 17,
-      "outputs": []
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/ksprateek/anaconda3/envs/myEnv/lib/python3.12/site-packages/sklearn/metrics/_regression.py:483: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
+      "  warnings.warn(\n"
+     ]
     }
-  ]
-}
\ No newline at end of file
+   ],
+   "source": [
+    "ridge_regr = Ridge(alpha=0.5)\n",
+    "ridge_regr.fit(X_train, y_train)\n",
+    "cv_score = cross_val_score(ridge_regr, X_train, y_train, cv=10)\n",
+    "print(f\"CV Score --> {np.mean(cv_score)}\")\n",
+    "rmse = mean_squared_error(y_test, y_pred, squared=False)\n",
+    "print(f\"RMSE --> {rmse}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "id": "BecgHuNl8uJx"
+   },
+   "outputs": [],
+   "source": [
+    "pkl.dump(lasso_regr, open(\"model.pkl\", \"wb\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "FrqaaDtF88fK"
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "name": "Body Fat Prediction.ipynb",
+   "provenance": []
+  },
+  "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": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Body Fat Prediction/ReadMe.md b/Body Fat Prediction/Model/README.md
similarity index 100%
rename from Body Fat Prediction/ReadMe.md
rename to Body Fat Prediction/Model/README.md
diff --git a/Body Fat Prediction/README.md b/Body Fat Prediction/README.md
new file mode 100644
index 000000000..c65d27bc4
--- /dev/null
+++ b/Body Fat Prediction/README.md	
@@ -0,0 +1,132 @@
+# Body Fat Prediction
+
+This repository hosts a Body Fat prediction model, which now includes a Flask-based web interface for user interaction. This document details how to run the app and explains the contributions made to enhance the project with a user-driven web interface.
+
+## Contributions
+
+### Added Features:
+1. **Flask Web Application**: Developed a Flask web application to enable user interaction with the Body Fat prediction model.
+2. **Model Integration**: Integrated the existing Body Fat prediction model with the Flask application using `pickle`.
+3. **User Interface**: Designed a simple and intuitive user interface for inputting data and displaying predictions.
+4. **Instructions for Running the App**: Provided comprehensive instructions for setting up and running the web application.
+
+## How to Run the Application
+
+### Prerequisites
+
+- Python 3.8 or higher
+- Anaconda
+- Jupyter notebook
+- Flask
+- Pickle
+- Necessary libraries (listed in `requirements.txt`)
+
+### Setup Instructions
+
+1. **Clone the Repository**
+
+    ```bash
+    git clone https://github.com/abhisheks008/ML-Crate.git
+    cd Body\ Fat\ Prediction
+    ```
+
+2. **Install Dependencies**
+
+    - Install Anaconda (https://docs.anaconda.com/free/anaconda/install/)
+    <br>
+    Use the following command to confirm the installation of Anaconda
+    ```
+        conda --version 
+    ```
+
+    - It is recommended to use a virtual environment to manage dependencies. You can create and activate a virtual environment as follows:
+
+    ```bash
+    conda create --name myEnv
+    source activate myEnv
+    ```
+
+    Install the required packages:
+
+    ```bash
+    conda update
+    conda install --yes --file requirements. txt
+    ```
+
+ - Install and make sure Jupyter notebook server is running at `http://localhost:8888`
+    ```
+        conda install jupyter
+        jupyter notebook
+    ```
+
+3. **Run the Flask Application**
+
+    Start the Flask development server:
+
+    ```bash
+    python3 Web\ App/app.py
+    ```
+
+    By default, the application will be accessible at `http://127.0.0.1:5000/`.
+
+### Using the Web Interface
+
+1. Open your web browser and navigate to `http://127.0.0.1:5000/`.
+<img src="Images/Web App/initial_1.png" alt="Initial State" width="600" />
+<img src="Images/Web App/initial_2.png" alt="Initial State" width="600" />
+
+2. You will see a form where you can input the necessary parameters for Body Fat prediction.
+<img src="Images/Web App/form_filled.png" alt="Filling the form" width="600" />
+
+
+3. Fill out the form with the required details and click on the "Predict" button.
+<img src="Images/Web App/predicted.png" alt="Prediction output" width="600" />
+
+
+4. The application will process the input data using the pre-trained model and display the predicted body fat percentage.
+
+
+
+## Directory Structure
+
+```
+Body Fat Prediction/
+├── model.pkl                           # Pickle dumped model
+├── requirements.txt                   # Requirements to run the application
+├── README.md                           # Project documentation
+├── Web App/
+    ├── app.py                          # Main Flask application
+    ├── README.md
+    ├── templates/
+        ├── index.html                   # HTML template for the web interface
+    ├── static/
+        ├── css/
+            ├── styles.css              # CSS for styling the web interface
+├── Model/
+    ├── Body_Fat_Prediction.ipynb       # ML model for predicting Body fat
+    ├── README.md                       # Model Documentation
+├── Images/
+    ├── README.md                       # Has links for images of plots (Data visualization) and Web App's working
+    ├── Web App/                        # Has images of Web App's working
+├── Dataset/
+    ├── bodyfat.csv                     # Body fat dataset - CSV file
+    ├── README.md                       # Has Kaggle link for the Dataset
+```
+
+## Additional Notes
+
+- **Model File**: The model file `model.pkl` is stored in the project's root directory. Ensure this file is present when running the application.
+- **Future Improvements**: Potential enhancements include adding user authentication, improving the UI/UX, and deploying the application to a cloud platform for broader access.
+
+## Acknowledgments
+
+- Thanks to the contributors of the original Body Fat prediction model.
+- Special mention to the open-source community for providing the tools and libraries that made this project possible.
+
+CONTRIBUTED BY
+
+[Tandrima Singha](https://github.com/tandrimasingha) (Training the model)<br> [K S Prateek](https://github.com/imksprateek) (Web interface and Documentation)
+
+For any issues or contributions, please refer to the project's GitHub repository [here](https://github.com/abhisheks008/ML-Crate/tree/main/Body%20Fat%20Prediction).
+
+---
diff --git a/Body Fat Prediction/Web App/README.md b/Body Fat Prediction/Web App/README.md
new file mode 100644
index 000000000..595640425
--- /dev/null
+++ b/Body Fat Prediction/Web App/README.md	
@@ -0,0 +1,21 @@
+## Body Fat Prediction - Web Interface
+
+### Goal 🎯
+The main goal of this project is to provide an easy-to-use web interface for predicting body fat percentage based on user input parameters. This tool aims to make body fat prediction accessible to non-technical users by integrating a machine learning model with a user-friendly Flask web application.
+
+### Model(s) used for the Web App 🧮
+The backend part of the web app uses a pre-trained machine learning model (`../Model`) serialized with `pickle`. The model was trained on a dataset of body measurements and is designed to predict body fat percentage accurately.
+
+### Video Demonstration 🎥
+
+
+https://github.com/imksprateek/ML-Crate/assets/122814422/10d99f39-2996-46b0-9d1c-689dff0aac00
+
+
+
+
+### Signature ✒️
+Developed by [K S Prateek](https://github.com/imksprateek)
+- [GitHub](https://github.com/imksprateek)
+- [LinkedIn](https://www.linkedin.com/in/imksprateek/)
+- [Twitter](https://x.com/imksprateek)  
diff --git a/Body Fat Prediction/Web App/app.py b/Body Fat Prediction/Web App/app.py
new file mode 100644
index 000000000..0106e262d
--- /dev/null
+++ b/Body Fat Prediction/Web App/app.py	
@@ -0,0 +1,40 @@
+import numpy as np
+import pandas as pd
+import seaborn as sns
+import matplotlib.pyplot as plt
+import pickle as pkl
+from sklearn.model_selection import train_test_split, cross_val_score
+from sklearn.linear_model import LinearRegression, Lasso, Ridge
+from sklearn.metrics import mean_squared_error
+from flask import Flask, request, jsonify, render_template
+import pickle
+
+# Create flask app
+app = Flask(__name__)
+
+# Load pickle model
+model = pickle.load(open('../model.pkl', 'rb'))
+
+# Define home route
+
+
+@app.route('/')
+def home():
+    return render_template('index.html')
+
+# Define route for prediction
+
+
+@app.route('/predict', methods=['POST'])
+def predict():
+    float_features = [float(x) for x in request.form.values()]
+    final_features = [np.array(float_features)]
+    prediction = model.predict(final_features)
+
+    output = round(prediction[0], 2)
+
+    return render_template('index.html', prediction_text='Predicted body fat: {}%'.format(output))
+
+
+if __name__ == "__main__":
+    app.run(debug=True)
diff --git a/Body Fat Prediction/Web App/static/css/styles.css b/Body Fat Prediction/Web App/static/css/styles.css
new file mode 100644
index 000000000..6bdc6c3b4
--- /dev/null
+++ b/Body Fat Prediction/Web App/static/css/styles.css	
@@ -0,0 +1,61 @@
+body {
+    font-family: 'Arimo', sans-serif;
+    background: #f0f0f0;
+    margin: 0;
+    padding: 0;
+}
+
+.data {
+    width: 100%;
+    max-width: 400px;
+    margin: 50px auto;
+    padding: 40px;
+    background: #fff;
+    box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
+    border-radius: 8px;
+    text-align: center;
+}
+
+.data h1 {
+    font-family: 'Pacifico', cursive;
+    margin-bottom: 20px;
+}
+
+.data form {
+    display: flex;
+    flex-direction: column;
+}
+
+.data input[type="text"],
+.data button {
+    font-family: 'Hind', sans-serif;
+    margin-bottom: 20px;
+    padding: 10px;
+    font-size: 16px;
+    width: 100%;
+    box-sizing: border-box;
+}
+
+.data input[type="text"] {
+    border: 1px solid #ddd;
+    border-radius: 4px;
+}
+
+.data button {
+    background: #3498db;
+    border: none;
+    color: #fff;
+    cursor: pointer;
+    border-radius: 4px;
+    transition: background 0.3s ease;
+}
+
+.data button:hover {
+    background: #2980b9;
+}
+
+.data p {
+    font-family: 'Open Sans Condensed', sans-serif;
+    font-size: 30px;
+    color: #333;
+}
\ No newline at end of file
diff --git a/Body Fat Prediction/Web App/templates/index.html b/Body Fat Prediction/Web App/templates/index.html
new file mode 100644
index 000000000..27e3e98a2
--- /dev/null
+++ b/Body Fat Prediction/Web App/templates/index.html	
@@ -0,0 +1,44 @@
+<!DOCTYPE html>
+<html >
+<head>
+  <meta charset="UTF-8">
+  <title>ML API</title>
+  <link href='https://fonts.googleapis.com/css?family=Pacifico' rel='stylesheet' type='text/css'>
+<link href='https://fonts.googleapis.com/css?family=Arimo' rel='stylesheet' type='text/css'>
+<link href='https://fonts.googleapis.com/css?family=Hind:300' rel='stylesheet' type='text/css'>
+<link href='https://fonts.googleapis.com/css?family=Open+Sans+Condensed:300' rel='stylesheet' type='text/css'>
+ <link rel="stylesheet" href="{{ url_for('static', filename='css/styles.css') }}">
+  
+</head>
+
+<body>
+ <div class="data">
+	<h1>Body Fat Prediction</h1>
+
+     <!-- Main Input For Receiving Query to our ML model-->
+    <form action="{{ url_for('predict')}}"method="post">
+       Age (years): <input type="text" name="Age" placeholder="Age" required="required" />  <br>
+		Weight (lbs): <input type="text" name="Weight" placeholder="Weight" required="required" /> <br>
+		Height (inches): <input type="text" name="Height" placeholder="Height" required="required" /> <br>
+    Neck (cm): <input type="text" name="Neck" placeholder="Neck circumference" required="required" /> <br>
+    Chest circumference (cm): <input type="text" name="Chest" placeholder="Chest circumference" required="required" /> <br>
+    Abdomen circumference (cm): <input type="text" name="Abdomen" placeholder="Abdomen circumference" required="required" /> <br>
+    Hip circumference (cm): <input type="text" name="Hip" placeholder="Hip circumference" required="required" /> <br>
+    Thigh circumference (cm): <input type="text" name="Thigh" placeholder="Thigh circumference" required="required" /> <br>
+    Knee circumference (cm): <input type="text" name="Knee" placeholder="Knee circumference" required="required" /> <br>
+    Ankle circumference (cm): <input type="text" name="Ankle" placeholder="Ankle circumference" required="required" /> <br>
+    Biceps(extended) circumference (cm): <input type="text" name="Biceps" placeholder="Biceps circumference" required="required" /> <br>
+    Forearm circumference (cm): <input type="text" name="Forearm" placeholder="Forearm circumference" required="required" /> <br>
+    Wrist circumference (cm): <input type="text" name="Wrist" placeholder="Wrist circumference" required="required" /> <br>
+        <button type="submit" class="btn btn-primary btn-block btn-large">Predict</button>
+    </form>
+
+   <br>
+   <br>
+   <p class="prediction">{{ prediction_text }}</p>
+
+ </div>
+
+
+</body>
+</html>
diff --git a/Body Fat Prediction/model.pkl b/Body Fat Prediction/model.pkl
new file mode 100644
index 000000000..d41b01662
Binary files /dev/null and b/Body Fat Prediction/model.pkl differ
diff --git a/Body Fat Prediction/requirements.txt b/Body Fat Prediction/requirements.txt
index f0c2c8464..31f2dc966 100644
--- a/Body Fat Prediction/requirements.txt	
+++ b/Body Fat Prediction/requirements.txt	
@@ -1,5 +1,123 @@
-matplotlib==3.4.2
-seaborn==0.9.0
-numpy==1.21.1
-pandas==1.3.0
-scikit_learn==1.0.2
+anyio==4.2.0
+argon2-cffi==21.3.0
+argon2-cffi-bindings==21.2.0
+asttokens==2.0.5
+async-lru==2.0.4
+attrs==23.1.0
+Babel==2.11.0
+beautifulsoup4==4.12.3
+bleach==4.1.0
+blinker==1.6.2
+Bottleneck==1.3.7
+Brotli==1.0.9
+certifi==2024.6.2
+cffi==1.16.0
+charset-normalizer==2.0.4
+click==8.1.7
+comm==0.2.1
+contourpy==1.2.0
+cycler==0.11.0
+debugpy==1.6.7
+decorator==5.1.1
+defusedxml==0.7.1
+executing==0.8.3
+fastjsonschema==2.16.2
+Flask==3.0.3
+fonttools==4.51.0
+idna==3.7
+ipykernel==6.28.0
+ipython==8.25.0
+ipywidgets==8.1.2
+itsdangerous==2.2.0
+jedi==0.18.1
+Jinja2==3.1.4
+joblib==1.4.2
+json5==0.9.6
+jsonschema==4.19.2
+jsonschema-specifications==2023.7.1
+jupyter==1.0.0
+jupyter_client==8.6.0
+jupyter-console==6.6.3
+jupyter_core==5.5.0
+jupyter-events==0.8.0
+jupyter-lsp==2.2.0
+jupyter_server==2.10.0
+jupyter_server_terminals==0.4.4
+jupyterlab==4.0.11
+jupyterlab-pygments==0.1.2
+jupyterlab_server==2.25.1
+jupyterlab-widgets==3.0.10
+kiwisolver==1.4.4
+MarkupSafe==2.1.3
+matplotlib==3.8.4
+matplotlib-inline==0.1.6
+mistune==2.0.4
+mkl-fft==1.3.8
+mkl-random==1.2.4
+mkl-service==2.4.0
+nbclient==0.8.0
+nbconvert==7.10.0
+nbformat==5.9.2
+nest-asyncio==1.6.0
+notebook==7.0.8
+notebook_shim==0.2.3
+numexpr==2.8.7
+numpy==1.26.4
+overrides==7.4.0
+packaging==23.2
+pandas==2.2.2
+pandocfilters==1.5.0
+parso==0.8.3
+pexpect==4.8.0
+pillow==10.3.0
+pip==24.0
+platformdirs==3.10.0
+ply==3.11
+prometheus-client==0.14.1
+prompt-toolkit==3.0.43
+psutil==5.9.0
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pycparser==2.21
+Pygments==2.15.1
+pyparsing==3.0.9
+PyQt5==5.15.10
+PyQt5-sip==12.13.0
+PySocks==1.7.1
+python-dateutil==2.9.0.post0
+python-json-logger==2.0.7
+pytz==2024.1
+PyYAML==6.0.1
+pyzmq==25.1.2
+qtconsole==5.5.1
+QtPy==2.4.1
+referencing==0.30.2
+requests==2.32.2
+rfc3339-validator==0.1.4
+rfc3986-validator==0.1.1
+rpds-py==0.10.6
+scikit-learn==1.4.2
+scipy==1.13.1
+seaborn==0.13.2
+Send2Trash==1.8.2
+setuptools==69.5.1
+sip==6.7.12
+six==1.16.0
+sniffio==1.3.0
+soupsieve==2.5
+stack-data==0.2.0
+terminado==0.17.1
+threadpoolctl==2.2.0
+tinycss2==1.2.1
+tornado==6.3.3
+traitlets==5.14.3
+typing_extensions==4.11.0
+tzdata==2023.3
+unicodedata2==15.1.0
+urllib3==2.2.1
+wcwidth==0.2.5
+webencodings==0.5.1
+websocket-client==1.8.0
+Werkzeug==3.0.3
+wheel==0.43.0
+widgetsnbextension==4.0.10