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Created 3 years ago
Bike Sharing Assignment - MLR - Prakher Hajela
Step 1: Data Preparation
# 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()