Lasso and Ridge Regression

Requirements Clarification & Assessment

Before diving into the differences between Lasso and Ridge regression, it's essential to understand the context in which these methods are applied and what the interviewer expects:

• Understanding of Regularization: The interviewer is likely assessing your understanding of regularization techniques used to prevent overfitting in regression models.

• Comparison of L1 and L2 Norms: They expect you to explain the mathematical differences and implications of using L1 and L2 norms in regularization.

• Practical Application: The interviewer might be interested in how you would choose between Lasso and Ridge in practical scenarios, considering factors like feature selection, multicollinearity, and model complexity.

• Analytical Depth: An explanation of the underlying mechanics and how they influence model performance and interpretation.

• Examples & Diagrams: Use of diagrams and real-world examples to illustrate the concepts could be expected.

• Trade-offs & Considerations: Awareness of the limitations and trade-offs associated with each method.