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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
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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