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  • 2019/20 sügis
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Masinõpe 2019/20 sügis

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Grading

Homework and test results are visible here

Homeworks

HW1 (deadline Sep 23, 10:15) - basic linear classifier, perceptron, KNN, Naive Bayes

Homework 1 tasks

HW2 (deadline Oct 7, 10:15) - regression, regularization and cross-validation

Homework 2 tasks

Test 1 (Oct 14)

HW3 (deadline Oct 28, 10:15) - kernel methods and decision trees

Homework 3 tasks

HW4 (deadline Nov 11, 10:15) - evaluation measures and logistic regression

Homework 4 tasks

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

Homework 5 tasks

HW6 part 1 (deadline Dec 9, 10:15) - Hidden Markov Models

Homework 6 part 1 tasks

HW6 part 2 (deadline Dec 20, 23:59) - Kaggle competition

Homework 6 Kaggle task

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)

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