text_plain_output_1.png
import os

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
import os
bkshare_df = pd.read_csv('../input/bike_share.csv')
bkshare_df1 = bkshare_df.copy()

bkshare_df1.info()