ποΈ Week 5: Non-linear algorithms and ensemble methods
Theme: Supervised Learning
Welcome to the fifth week of this course!
This week, we wrap up our exploration of supervised learning techniques with some non-linear (classification) algorithms such as decision trees, random forests and support vector machines.
Youβll be given some πhomework about supervised learning techniques (in particular model evaluation and comparison as well as resampling) to do during Reading Week.
Your first summative (due in week 8) will also be announced and released this week! Stay tuned.
π©π»βπ« Lecture Material
π₯ Looking for lecture recordings? You can only find those on Moodle, typically a day after the lecture. If you canβt find the recordings, please contact π§ .
Download the Quarto markdown file for this lecture:
Download the main dataset used for this lecture: