Feature Selection Techniques — Roadmap Step & Resources
Filter, wrapper and embedded methods for choosing which features actually matter
- Level: advanced
- Estimated time: 1 days
- Roadmap: Machine Learning
Before this step
Interview questions
- Why might removing irrelevant features improve a model even if it doesn't hurt accuracy on training data?
Study resources
- Feature selection (Article) — The official scikit-learn documentation on feature selection techniques.
- Feature Selection Explained (Video) — A practical walkthrough of filter, wrapper and embedded feature selection methods.
- Ridge and Lasso Regression in Python — Analytics Vidhya (feature selection module index) (Article) — Ridge and Lasso Regression in Python — Analytics Vidhya (feature selection module index) — selected for the syllabus topic Feature Selection.
- Feature Selection & Dimensionality Reduction with PCA & LDA — Technetzz (Article) — Feature Selection & Dimensionality Reduction with PCA & LDA — Technetzz — selected for the syllabus topic Feature Selection.
Part of
- Feature Engineering & Selection — section
- Machine Learning roadmap — the full learning path