ML-course

🎓 Machine Learning course at ITMO University

Lectures

Course lectures: YouTube

Assignments

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