Week 46: Decision Trees, Ensemble methods and Random Forests

 

 

 

Plan for week 46

  1. Work on and discussions of project 3

Basics of decision trees, classification and regression algorithms and ensemble models

  1. Readings and Videos:
    1. Lecture notes at https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week46/ipynb/week46.ipynb
    2. Video of lecture at https://youtu.be/TfRKUfdJwB4
    3. Whiteboard notes at https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesNovember11.pdf
    4. Video on Decision trees at https://www.youtube.com/watch?v=RmajweUFKvM&ab_channel=Simplilearn
    5. Decision Trees: Rashcka et al chapter 3 pages 86-98, and chapter 7 on Ensemble methods, Voting and Bagging and Gradient Boosting. See also lecture from STK-IN4300, lecture 7 at https://www.uio.no/studier/emner/matnat/math/STK-IN4300/h20/slides/lecture_7.pdf.