How can I visualize the results of Lasso and Ridge regression?

How can I visualize the results of Lasso and Ridge regression?

You can visualize the results using plots like coefficient paths or bar charts to compare the coefficients.

What libraries in Python can I use for this visualization?

You can use libraries like Matplotlib, Seaborn, or Plotly for creating visualizations of your regression results.

Can you show me an example code snippet for visualizing Lasso results?

Sure! Here's a simple example using Matplotlib:

import matplotlib.pyplot as plt
import numpy as np

# Assuming 'lasso_model' is your trained Lasso model
coefs = lasso_model.coef_
plt.bar(range(len(coefs)), coefs)
plt.title('Lasso Coefficients')
plt.xlabel('Features')
plt.ylabel('Coefficient Value')
plt.show()

What about Ridge regression? Is it similar?

Yes, it's quite similar! You can use the same approach to visualize Ridge coefficients, just replace the model name.