Introduction to Machine Learning - winter semester 2022/2023

Stored in this repository are solutions to programming tasks completed as part of Introduction to Machine Learning (PL: Wstęp do uczenia maszynowego) course in winter semester 2022/2023. Topics covered:

1. Decision trees
2. Crossvalidation
3. Logistic regression, ROC & AUC
4. Logistic regression regularization
5. Logistic regression for small datasets, LDA
6. QDA, Naive Bayes
7. Loss functions, SVM
8. kNN, missing values, outliers
9. Discretization, pipelines
10. Feature selection, PCA
11. Neural Networks
12. Ensemble methods
13. Clustering methods