1. How does regularization makes a complex linear regression model into a simpler model?

2. Shall we use regularization in the logistic regression?

3. When your dataset has only three features, which regularization method will you use for prediction?

4. Do you use a regularization method for missing data? If not, how do you use the regularization methods?