Regularization (Ridge, Lasso, Elastic Net) — Roadmap Step & Resources
Penalizing large coefficients to reduce overfitting
- Level: intermediate
- Estimated time: 1 days
- Roadmap: Machine Learning
Before this step
Interview questions
- Ridge vs Lasso — how does each affect the model's coefficients differently?
Study resources
- Ridge, Lasso and Elastic-Net Regression, Clearly Explained!!! (Video) — StatQuest's widely-loved explanation of Ridge and Lasso regularization.
- Linear Models (Article) — The official scikit-learn documentation on Ridge, Lasso and Elastic-Net.
- Dropout: A Simple Way to Prevent Overfitting Explained (Video) — A clear explanation of dropout regularization specific to neural networks.
- Deep Learning Book: Regularization (Article) — The free official Deep Learning book's dedicated chapter on regularization for deep networks.
Part of
- Supervised Learning: Regression — section
- Machine Learning roadmap — the full learning path