🗓️ 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.

You’ll be given some 📚homework about supervised learning techniques (in particular model evaluation and comparison as well as resampling) to do during Reading Week. ⚠️ We highly suggest you try this homework: it will help you prepare for the 📝W08 summative!

Your first summative (due in week 8) has also been released this week!

👩🏻‍🏫 Lecture Material

🎥 Looking for lecture recordings? You can only find those on Moodle, typically a day after the lecture. If you can’t find the recordings, please contact 📧 .

Download the Quarto markdown file for this lecture:

Download the main dataset used for this lecture: