Lectures
Lecture 01 - Sept 5 - Introduction
Slides part 1, slides part 2, video
Lecture 02 - Sept 12 - First look at the data
Slides part 1, slides part 2, video
Lecture 03 - Sept 19 - Tableau and visualisation
Lecture 04 - Sept 26 - Frequent pattern mining
Lecture 05 - Oct 3 - Relations of attributes, clustering and dimensionality reduction
Slides part 1, slides part 2, video 1, video 2
Lecture 06 - Oct 10 - Introduction to machine learning
Slides part 1, Slides part 2, video
Lecture 07 - Oct 17 - Machine learning 2
Lecture 08 - Oct 24 - Machine learning 3
Lecture 09 - Oct 31 - Machine learning 4 + Project information
Project information slides, video
Nov 7 - Consultation for projects (same room and time as the lecture)
Lecture 10 - Nov 14 - Computational statistics
Slides part 1, slides part 2, video part 1, video part 2
Lecture 11 - Nov 21 - CRISP-DM, Graph mining, and NLP
Slides part 1, slides part 2, video
Lecture 12 - Nov 28 - Databases and privacy
Slides part 1, slides part 2, video