BUAD5082 Machine Learning II

Week 08: SVM2

Tuesday
PPT: Support Vector Machine
Visualization of SVM Polynomial Kernel by Udi Aharoni

Complete before next class meeting
ROC & AUC (Machine Learning University by Amazon)
ROC Curve by Dr. Chung
Classification (Google)

Thursday
PPT: ROC
Lab: ROC
Team 7 presentation and poll
Team 17 presentation and quiz


Complete before next class meeting
ISLR2 Chapter 12.1: Challenge of Unsupervised Learning
ISLR2 Chapter 12.2: Principal Components Analysis
Principal Component Analysis Explained Visually
Eigenvectors & Eigenvalues Explained Visually
Unsupervised Learning and Principal Components Analysis (12:37)
Exploring Principal Components Analysis and Proportion of Variance Explained (17:39)
Lab: Principal Components Analysis (6:28)
PCA1 by Dr. Chung

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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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