Module 2 K-Nearest Neighbours and Decision Trees Introduction to Module 2 Classification with Instance-based Learning (k-Nearest Neighbours) Quiz - K-Nearest Neighbours Classification with Decision Trees How to select the optimal split rule? (information gain/entropy) Worked examples for constructing a decision tree. Summary and further considerations Quiz - Decision Trees Recording of Live Session Recording of Live Session Recording of the live session on 21st October 2021 (restricted to registered students). << Previous article home