Week 3

Introduction

This week will introduce analysis workflow of supervised learning.

Learning Objectives

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

1. Understand different workflow of supervised learning.
2. Understand train-test split and train-validation-test split.
3. Understand cross validation and its extensions
4. Know when to use different model evaluation methods.

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.

To access the practical:

1. Preview
2. Download

Further resources