Institute of Computer Science
  1. Courses
  2. 2015/16 spring
  3. Data Mining (MTAT.03.183)
ET
Log in

Data Mining 2015/16 spring

  • Course Home
  • Lectures
  • Projects
  • Homeworks
    • Submit
  • Software
  • Links

...

Weekly homeworks

Points for the homeworks are here.

make sure to submit by deadline: First week - just before the midnight of the day of the practice session and in future by Sunday night 23.59 of the week of the practice sessions (all groups).

First week deadline - just before your practice session start

HW01 (14.02) - Introduction, probability ...

HW02 (21.02) - Descriptive statistics (Wednesday group of 24.02 National Holiday has to be split between Monday and Friday - choose randomly)

HW03 (28.02) - Descriptive statistics (KDE, boxplots)

HW04 (06.03) - Descriptive statistics and visualisation

HW05 (13.03) - Q-Q-plots and frequent itemsets

HW06 (20.03) - Association rules, 2x2 tables, interestingness...

HW07 (27.03) - Association rules, ...

HW08 (03.04) - Machine Learning start ...

HW09 (10.04) - Machine Learning II,

HW10 (17.04) - Machine Learning III, Regression analysis

HW11 (25.04) - ML, Clustering, projects...

HW12 (16.05) - Clustering, PCA, OLAP,

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
In case of technical problems or questions write to:

Contact the course organizers with the organizational and course content questions.
The proprietary copyrights of educational materials belong to the University of Tartu. The use of educational materials is permitted for the purposes and under the conditions provided for in the copyright law for the free use of a work. When using educational materials, the user is obligated to give credit to the author of the educational materials.
The use of educational materials for other purposes is allowed only with the prior written consent of the University of Tartu.
Terms of use for the Courses environment