# Practical tasks of course "Intellectual systems and technologies"

Projects

1. KNN metric classifier;
2. Linear regression;
3. Naive Bayes classifier;
4. SVM - Support Vector Machine;
5. FS - Feature Selection.

Lectures

1. Introduction;
2. Basic models: nearest neighbors and trees;
3. Overfitting, testing, validating and measuring;
4. Linear models;
5. Probabilistic.