Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧

Implementation of various inference and learning algorithms for Probabilistic Graphical Models (PGMs) without off-the-shelf libraries. Also includes projects from the PGM specialization on Coursera offered by Stanford.

Classification task of body positions of skeletal body movements recorded from a Kinect device (Kinect Gesture Dataset). A Bayesian approach is employed using a Linear Gaussian Model and Maximum Likelihood Estimation, assuming dependencies between skeleton joints.