Week 7

Author

Huanfa Chen

Published

March 25, 2026

Introduction

This week, we’ll explore how to interpret a trained machine learning models and how to select features for training a machine learning model.

Learning Objectives

By the end of this week, you will be able to:

  1. Understand different model interpretation techniques.
  2. Understand methods for selecting features in machine learning.

Lecture

To access the lecture notes: Lecture

Quiz

To access the quiz on Moodle, please check Moodle page.

Practical

Note

To save a copy of notebook to your own GitHub Repo: follow the GitHub link, click on Raw and then Save File As... to save it to your own computer. Make sure to change the extension from .ipynb.txt (which will probably be the default) to .ipynbbefore adding the file to your GitHub repository.

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Further resources