PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

Code accompanying paper "Model-Augmented Conditional Mutual Information Estimation for Feature Selection" in UAI 2020

This repository contains a collection of lab exercises and exams from the TDDE15: Advanced Machine Learning course taking at Linköping Univerity during the fall 2024. The main topics are: Bayesian Networks, Hidden Markov Models, Q-learning, REINFORCE, and Gaussian Processes.

Assigments done as part of coursework