What is Lasso Regression?

Can you explain what Lasso regression is?

Lasso regression is a type of linear regression that includes a regularization term to prevent overfitting.

How does the regularization term work in Lasso regression?

The regularization term adds a penalty equal to the absolute value of the coefficients, which helps to shrink some coefficients to zero.

What are the benefits of using Lasso regression?

Lasso regression helps in feature selection, reduces model complexity, and improves prediction accuracy.

Can you give me an example of when to use Lasso regression?

It's particularly useful when you have a large number of features, and you want to identify the most important ones.