{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd  \n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "import sklearn.metrics as sm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel(\"https://github.com/masterfloss/data/blob/main/socialmedia.xlsx?raw=true\")\n",
    "X=df[['Linux','Chrome','Twitter']]\n",
    "Y=df[['Facebook']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, Y,test_size=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "linear_regressor = LinearRegression() \n",
    "#linear_regressor = LinearRegression(fit_intercept = False)  \n",
    "results=linear_regressor.fit(X_train, y_train)\n",
    "y_test_pred=results.predict(X_test)\n",
    "y_train_pred=results.predict(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"R2 score =\", round(sm.r2_score(y_test, y_test_pred), 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"R2 score =\", round(sm.r2_score(y_train,y_train_pred), 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Regression with all data\n",
    "\n",
    "linear_regressor = LinearRegression()  \n",
    "results=linear_regressor.fit(X, Y)\n",
    "Y_pred=results.predict(X)\n",
    "print(\"R2 score =\", round(sm.r2_score(Y, Y_pred), 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "results.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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