/intro-to-ML

My solutions to the Introduction to Machine Learning course 2022/23 at the AGH Univeristy of Krakow

Primary LanguageJupyter Notebook

Machine Learning Exercises 📈

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