Grading
Homework and test results are visible here
Homeworks
HW1 (deadline Sep 23, 10:15) - basic linear classifier, perceptron, KNN, Naive Bayes
HW2 (deadline Oct 7, 10:15) - regression, regularization and cross-validation
Test 1 (Oct 14)
HW3 (deadline Oct 28, 10:15) - kernel methods and decision trees
HW4 (deadline Nov 11, 10:15) - evaluation measures and logistic regression
Please make sure you restart the kernel and run all cells in the notebook as the last thing before submitting your ipynb-file below.
Test 2 (Nov 18)
HW5 (deadline Dec 2, 10:15) - deep learning and ensemble methods
HW6 part 1 (deadline Dec 9, 10:15) - Hidden Markov Models
HW6 part 2 (deadline Dec 20, 23:59) - Kaggle competition
Deadline for submitting predictions to Kaggle: Dec 19, 23:59 UTC or Dec 20, 1:59 (EET)
Deadline for submitting the homework to here: Dec 20, 23:59 (EET)
Test 3 (Jan 6)