Step 1: TheoryTheory Article
Principal Component Analysis Overview
Study the core concepts and background material for this learning item.
Step 2: PracticeDeep-ML Challenge
PCA Exercise
Solve the challenges and apply your knowledge interactively.
Hard30 min estimated study
Overview
Implement linear dimensionality reduction models projecting records onto variance direction paths.
Learning Objectives
- Center high dimensional data profiles
- Project parameters onto principal covariance components
Prerequisites
Item #42Feature Scaling Normalization
LockedItem #25Covariance Matrix Calculation
LockedTracking Control
Completion Reward+300 XP
Study Checklist
Studied theory resource
Completed practice exercise