BUAD5082 Machine Learning II

Week 06: More Tree-Based Methods

Tuesday
PPT: Pruning
PPT: Bagging & Random Forest
Lab: Pruning, Bagging & Random Forest 

Thursday
PPT: Boosting
Boosting Demo
xgboost function from the xgboost library
rus (implementation of the RUSBoost algorithm in R)
TP01 presentations by Team 5 (poll) & Team 15
IL03a solution
IL03b solution

Complete before next class
ISLR2 Chapter 9.1: Maximal Margin Classifier
Maximal Margin Classifier (11:35)
Lab: Support Vector Machine for Classification (10:13)
SVM3-1: Maximal Margin Classifier (Lecture by Dr. Chung)
Support Vector Machine (Lecture by Dr. Wilck)
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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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