Lectures
Lecture 01 - Sept 3 - Introduction
Slides part 1, slides part 2, video
Lecture 02 - Sept 10 - First look at the data
Slides part 1, slides part 2, video
Lecture 03 - Sept 17 - Tableau and visualisation
Lecture 04 - Sept 24 - Frequent pattern mining
Lecture 05 - Oct 1 - Relations of attributes, clustering and dimensionality reduction
Slides part 1, slides part 2, video 1, video 2
Lecture 06 - Oct 8 - Introduction to machine learning
Slides part 1, slides part 2, video
Lecture 07 - Oct 15 - Machine learning 2
Slides part 1, slides part 2, slides part 3, video
Lecture 08 - Oct 22 - Machine learning 3 + Project information
Lecture slides, project information slides, video
Lecture 09 - Oct 29 - Machine learning 4
Nov 5 - Consultation for projects (same room and time as the lecture)
Lecture 10 - Nov 12 - Computational statistics
Slides part 1, slides part 2, video
Lecture 11 - Nov 19 - CRISP-DM, Graph mining, and NLP
Slides part 1, slides part 2, video
Lecture 12 - Nov 26 - Databases and privacy
Slides part 1, slides part 2, video