Homework submission
Please review the following rules before submitting your assignment:
- Please, submit only .ipynb that you extract from the Colaboratory.
- Run your homework exercises before submitting (output should be present, preferably restart the kernel and press run all the cells).
- Do not change the description of tasks in red (even if there is a typo|mistake|etc).
- Please, make sure to avoid unnecessary long printouts.
- 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.
Note: The late days will be used automatically if you submit after the deadline unless you let us know in advance.
HW1 - supervised learning (Deadline: 22.09.2024)
this submission is closed
HW2 - unsupervised learning (Deadline: 06.10.2024)
this submission is closed
HW3 - deep learning (Deadline: 20.10.2024)
this submission is closed
Project plan (Deadline: 21.10.2024)
this submission is closed
Paper summary (Deadline: 27.10.2024)
this submission is closed
HW4 - regularisation learning (Deadline: 03.11.2024)
this submission is closed
HW5 - ensemble learning (Deadline: 17.11.2024)
this submission is closed
HW6 - performance metrics (Deadline: 8.12.2024)
The instructions for the HW6 can be found here
Team evaluation (Deadline: 23.12.2024)
After presenting your final project presentations, please fill in this team evaluation questionnaire for each team member separately. Everyone's score will be calculated as an average across all questions of all evaluations you will get from your teammates, and then scaled to 0-3, where 3 is the maximum amount of points one can get from team evaluation.
NB! You can also fill out one about yourself for your own self-evaluation - this however will not be added to the score and will be just for self-reflection. :)
NB! Please use your full names so we can match you correctly.