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

Source: mindsmapped.com

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])

Source: mindsmapped.com

Regression model build

data.shape

Source: mindsmapped.com

Regression model build

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

Source: mindsmapped.com

Similar codes

1 vote179 views1 answer
Python watchgod
Python
4 votes223 views3 answers
How to check if a number is a perfect square python
Python
5 votes198 views4 answers
Turtle example in python
Python
0 vote228 views1 answer
Python bug
Python
15 votes181 views3 answers
Inverse matrix python numpy
Python
0 vote196 views1 answer
Python n range num list
Python
0 vote178 views1 answer
Replace outliers with nan python
Python
1 vote257 views2 answers
How to read any random rows in csv
Python
0 vote232 views1 answer
Django fixtures. To dump data
Python Django
35 votes205 views6 answers
How to make a virtual environment python 3
Python