We will collect your home assignment solutions through private github repositories that you need to create (see the instructions from the 1st homework). If you haven't done so yet, please give us the info about your homework repository through the google form (see the main pinned message in the telegram chat).
| # | File | Deadline |
|---|---|---|
| 01 | 01-intro/DataHandling_HW.ipynb | Oct, 2 |
| 02 | 02-linear-regression/LinearRegression_HW.ipynb | Oct, 9 |
| 03 | 03-linear-classification/Classification_HW.ipynb | Oct, 16 |
| 04 | 04-regularization/Regularization_HW.ipynb | Oct, 23 |
| 05 | 06-model-evaluation/QualityMetrics_HW.ipynb | Oct, 30 |
| 06 | 07-trees/DecisionTrees_HW.ipynb | Nov, 6 |
| 07 | 08-ensembles/Ensembles_HW.ipynb | Nov, 20 |
| 08 | 09-neural-networks/NNs_HW.ipynb | Nov, 27 |
| 09 | 12-architectures/TL_AE_HW.ipynb | Dec, 11 |
| 10 | 13-GANs/GAN_HW.ipynb | Dec, 25 |
Please read carefully the guidelines for the exam project. Let us know if you have any questions.