Feature Scaling & Normalization — Roadmap Step & Resources
Standardization and min-max scaling, and why some algorithms need it
- Level: intermediate
- Estimated time: 1 days
- Roadmap: Machine Learning
Before this step
Interview questions
- Why do distance-based algorithms like kNN require feature scaling but decision trees don't?
Study resources
- Compare the effect of different scalers (Article) — The official scikit-learn documentation comparing standardization and normalization.
- Feature Scaling Explained (Video) — A practical explanation of when to standardize vs normalize features.
- CampusX Feature Engineering (Normalization/Standardization) — YouTube (Video) — CampusX Feature Engineering (Normalization/Standardization) — YouTube — selected for the syllabus topic Feature Scaling.
- Krish Naik - Feature Engineering: Normalization And Standardization (Day 5) — GitHub notes reference (Video) — Krish Naik - Feature Engineering: Normalization And Standardization (Day 5) — GitHub notes reference — selected for the syllabus topic Feature Scaling.
Part of
- Data Analysis & Preprocessing — section
- Machine Learning roadmap — the full learning path