# Regularized Regression
📝 **This chapter is under construction.**
This case study demonstrates Ridge, Lasso, and ElasticNet regression with
hyperparameter tuning, following EXTREME TDD principles.
**Topics covered:**
- Ridge regression (L2 regularization)
- Lasso regression (L1 regularization)
- ElasticNet (L1 + L2)
- Grid search hyperparameter tuning
- Feature scaling importance
**See also:**
- [What is EXTREME TDD?](../methodology/what-is-extreme-tdd.md)
- [Model Selection](./cross-validation.md)