Data Science, Machine Learning, Regression, Data Analysis, Statistics.
vs. Observations: Lasso & Elastic Net: suitable when you have more features than observations. Ridge: suitable for smaller sets of features. Challenges and Best Practices in Applying Regularization Techniques Common Pitfalls Incorrect Hyperparameter Tuning: Over- or under-tuning the regularization