Grading
Points for the homeworks will be here. You can find your pseudonym at https://courses.cs.ut.ee/user/my_data
Homework submission
Please review the following rules before submitting your assignment:
- Please, submit only .ipynb that you extract from the Colaboratory!
- Run your colab before submitting (no output - no grades).
- Do not change the description of tasks (even if there is a typo/mistake/etc).
- Remove unnecessary long prints after debugging.
- Each task should be solved right under the question of the task and not elsewhere.
- Solutions to both regular and bonus exercises should be submitted in one IPYNB file.
HW1 - supervised learning (Deadline: 20.09.2020)
closed
HW2 - unsupervised learning (Deadline: 04.10.2020)
closed
HW3 - deep learning (Deadline: 18.10.2020)
closed
Paper summary (Deadline: 26.10.2020)
closed
HW4 - regularisation methods (Deadline: 01.11.2020)
closed
HW5 - ensemble learning (Deadline: 15.11.2020)
closed
HW6 - performance metrics (Deadline: 06.12.2020)
closed
Project presentation slides (in PDF format)
closed