Lecture 01 - Sept 1 - Introduction
Lecture 02 - Sept 8 - First look at the data
Lecture 03 - Sept 15 - Tableau and visualisation
Lecture 04 - Sept 22 - Frequent pattern mining
Lecture 05 - Sept 29 - Relations of attributes, clustering and dimensionality reduction
Lecture 06 - Oct 6 - Introduction to machine learning
Lecture 07 - Oct 13 - Machine learning 2
Lecture 08 - Oct 20 - Machine learning 3 + Project information
Slides, video, project information slides, project information video
Lecture 09 - Oct 27 - Machine learning 4
Nov 3 - Consultation for projects (same room and time as the lecture)
Lecture 10 - Nov 10 - Computational statistics
Lecture 11 - Nov 17 - CRISP-DM, Graph mining, and NLP
Lecture 12 - Nov 24 - Databases and privacy
Dec 1 - No lecture (university anniversary)
Dec 6 at 14:15-16:00 - Consultation for projects - online
Zoom link:
- Please log in here on this course homepage to see the link for online participation.