BUAD5082 Machine Learning II

Week 03: Feature Selection & Non-Linear Models

Tuesday
Chapter 6 wrap-up
PPT: Regularization - Ridge vs. Lasso 
PPT: PCR & PLS

Thursday
Lab: PCR & PLS
TP01 Presentation: Team 1 & Team 12

Complete before next class
ISLR Chapter 7.1 Polynomial Regression
ISLR Chapter 7.2 Step Functions
Polynomial Regression and Step Functions (14:59)
Piecewise Polynomial (13:13)
Lab: Polynomials (21:11)

Friday
PPT: Polynomial Regression
Lab: Polynomial
PPT: Step Function
Lab: Step Function

Complete before next class
ISLR Chapter 7.3 Basis Functions
ISLR Chapter 7.4 Regression Splines
Smoothing Splines (10:10)
Home
Subscribe to: Posts (Atom)

Search This Site

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

Report Abuse

Awesome Inc. theme. Powered by Blogger.