Dimensionality Reduction with PCA — Roadmap Step & Resources
Reducing the number of features while preserving as much variance as possible
- Level: intermediate
- Estimated time: 2 days
- Roadmap: Machine Learning
Before this step
Interview questions
- What does a principal component actually represent geometrically?
Study resources
- StatQuest: Principal Component Analysis (PCA) (Video) — StatQuest's widely-loved, clear explanation of PCA.
- PCA (Article) — The official scikit-learn documentation for Principal Component Analysis.
Part of
- Unsupervised Learning — section
- Machine Learning roadmap — the full learning path