Lectures
Videos of the course
- Lecture 1 - (09.02) Introduction to course and Data Mining ( PDF , 6 up )
- Lecture 2 - (16.02; 23.02) Descriptive Analysis ( PDF , 6 up )
- 02.03 Guest lecture by Transferwise - see the videos.
- Lecture 3 - (02.03, 09.03, 16.03) FIM and Association rules; patterns ( PDF , 6 up )
- Lecture 4 - (23.03) Regression analysis - Anna Leontjeva ( PDF ) -
- Lecture 5 - (30.03, 06.04, 13.04 ) Machine Learning - classification ( PDF, 6up )
- Lecture 6 - (20.04, ... ) Clustering and Seriation ( PDF, 6up )
- Lecture 7 - 27.04 - Guest lecture - Data Warehouses at Swedbank - Eric Reppo - Video http://www.uttv.ee/naita?id=25609
- Lecture 8 - 04.05 - Guest lecture - OLAP and DW - Siim Karus ( PDF )
- Lecture 9 - 11.05 - Guest lecture - Data Mining of Software Repositories - Dietmar Pfahl ( PDF, 6up )
- 18.05 - Clustering - continued ; OLAP ; ...
- 25.05 - end of the course contact hours - the Project final presentations.