Regression model build

# Necessary Imports
import pandas as pd
import matplotlib.pyplot as plt
import pickle
% matpllotlib inline

data= pd.read_csv('Example.csv') # Reading the data file
data.head() # checking the first five rows from the dataset

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Regression model build

# visualizing the relationship between features and response using scatterplots
fig, axs = plt.subplots(1, 3, sharey=True)
data.plot(kind='scatter', x='TV', y='sales', ax=axs[0], figsize=(16, 8))
data.plot(kind='scatter', x='radio', y='sales', ax=axs[1])
data.plot(kind='scatter', x='newspaper', y='sales', ax=axs[2])

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Regression model build

data.shape

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Regression model build

data.info() # printing the summary of the dataframe

Source: mindsmapped.com

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