Bike Sharing Assignment - MLR - Prakher Hajela

# importing the libraries required

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import warnings
warnings.filterwarnings('ignore')

import statsmodels.api as sm
from sklearn.model_selection import train_test_split
from sklearn.datasets import make_friedman1
from sklearn.feature_selection import RFE
from sklearn.svm import SVR
from sklearn.preprocessing import MinMaxScaler
from statsmodels.stats.outliers_influence import variance_inflation_factor

#loading the dataset
data = pd.read_csv(r'C:\Users\Prakh\OneDrive\IIIT B Upgrad\Course 2\Module 2 - Assignment MLR\day.csv')
data.head()

#dropping columns not required

data = data.drop(['instant','atemp','casual','registered'], axis =1)
data.head()