Explain how to Visualize regression models using seaborn?
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Explain how to Visualize regression models using seaborn?

Explain how to Visualize regression models using seaborn?

This recipe explains how to Visualize regression models using seaborn

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Recipe Objective

Visualize regression models using seaborn.

Regression models these are the simple linear regression model, where the plotting of these models are performed by regplot() which will fit and plot the model.

Step 1 - Import the necessary libraries

import seaborn as sns import matplotlib.pyplot as plt

Step 2 - load the dataset

car_data = sns.load_dataset('car_crashes') car_data.head()

Step 3 - Plot the graph

sns.regplot(x='ins_premium',y='ins_losses', data=car_data, dropna=True) plt.show()

Here from the above figures: x - denotes which variable to be plot on x-axis y - denotes which variable to be plot on y-axis data - denotes the Sample data name that we have taken. dropna - this parameter will drops null values present in data and used the not null values present in the data.

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