This repo contains exercises with my solutions to the Introduction to Machine Learning course 2022/23 at the AGH University of Krakow. The files are in order:
- Linear and Logistic Regression
- K-Nearest Neighbors and Approximate Nearest Neighbors Classifiers
- Support Vector Machines, Linear SVM and Kernel SVM
- Bernoulli Naive Bayes, Multinomial Naive Bayes, TF-IDF
- Imbalanced classification and anomaly detection
- Feature selection