Week 9
Introduction
This week will introduce how to simplify complex datasets by reducing the number of variables while preserving important information.
Learning Objectives
By the end of this week, you will be able to:
- Understand the principle of dimensionality reduction.
- Understand the method of principle component analysis.
- Visualise and describe the results of PCA.
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 .ipynb
before adding the file to your GitHub repository.
To access the practical: