KFAS: R Package for Exponential Family State Space Models

statespacer: State Space Modelling in R

Cross-Entropy Clustering R Package

R Package for Quantile Recalibration of Gaussian Models

My Master's thesis on Bayesian Classification with Regularized Gaussian Models

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.

Elements of statistical machine learning course at AGH UST in 2023

This repository represents my work through out the "Robotics: Estimation and Learning" course offered by University of Pennsylvania which is available on Coursera online learning platform.

Comparative analysis of Gaussian vs Gaussian Mixture Models for MNIST digit classification using MLE. Features 10-class ROC analysis, accuracy comparisons, and comprehensive model evaluation.

MNIST classifier comparing Simple Gaussian and GMM models implemented from scratch in Python.

Factorized variational approximation using a univariate Gaussian distribution over a single variable x.

AI-powered system that converts offline fantasy football draft board photos to complete digital results. Universal manufacturer compatibility through color detection + intelligent player matching with direct ESPN upload.

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implementing and comparing various model fitting and classification techniques. Demonstrates Multivariate Gaussian, Bag-of-Words, Naïve Bayes, LDA, and QDA models. Applied to Iris, SMS Spam Collection, and Phoneme datasets for practical classification tasks. parameter estimation, performance evaluation, feature selection using Mutual Information.