BUAD5082 Machine Learning II

Week 02: Feature Selection

Tuesday
PPT: Regularization
Lab: Regularization Lab

Complete before next class
ISLR2 Chapter 6.3: Dimension Reduction Methods
ISLR2 Chapter 6.4: Considerations in High Dimensions
Dimension Reduction (4:45)
Principal Components Regression and Partial Least Squares (15:48)

Thursday 
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Weekly Topics

  • Home
  • Week 01: Introduction, Review & Feature Selection
  • Week 02: Feature Selection
  • Week 03: Feature Selection & Non-Linear Models
  • Week 04: Non-Linear Models
  • Week 05: Tree-Based Methods & Exam
  • Week 06: More Tree-Based Methods
  • Week 07: SVM1
  • Week 08: SVM2
  • Week 09: Unsupervised Learning Day 1
  • Week 10: Unsupervised Learning Day 2
  • Week 11 Final Exam
  • Week 12: Final Team Presentations (TP02)
  • TP01 Instructions
  • Resources & References

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