🎓 Machine Learning course at ITMO University
Course lectures: YouTube
| Lab | Description | Problem | Implementation |
|---|---|---|---|
| 1 | Data normalization, One-hot Encoding, kNN Classifier, Nonparametric Regression, cross-validation, hyperparameter tuning | kNN.pdf | kNN.py |
| 2 | SGD, Linear Regression, LSM method, regularization | Linear.pdf | Linear.py |
| 3 | SVM algorithm, kernel trick | SVM.pdf | SVM.py |
| 4 | Naive Bayes Classifier | Bayes.pdf | Bayes.py |
| 5 | Decision Tree Classifier | DT.pdf | DT.py |
| 6 | CNN | CNN.pdf | CNN.py |
| 7 | Clusterisation, DBSCAN algorithm, PCA | Clust.pdf | Clust.py |
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