This repo contains solutions to image analysis and processing exercises done for my Image Analysis and Processing course. It includes methods for image enhancement, brightness and color adjustments, sharpening, edge and corner detection, rotation, and spatial filtering, with detailed explanations and visual results.

This repo contains code and reports for my master's ML project on human action recognition using CNNs with pseudo-colored skeletal data. It includes model training, evaluation with confusion matrices and metrics, k-fold cross-validation, data augmentation, and transfer learning experiments. Collaborative work.

This repository contains code and reports for an intelligent system to detect pneumonia from chest X-ray images, developed as part of my Image Analysis and Processing course. It uses classical ML techniques and neural networks, including data exploration, preprocessing, model training, and evaluation with confusion matrices and accuracy metrics.

This repo contains the code, results, and reports developed as part of my master's ML course project. Focuses on implementing and comparing statistical learning methods, including polynomial regression, Bayesian inference, Expectation-Maximization, and classification using k-nearest neighbors and Bayes classifiers. Collaborative work.