Project on hyperspectral-image clustering for the Μ402 - Clustering Algorithms course, NKUA, Fall 2022.

A python package which implements a distance-based extension of the adjusted Rand index for the supervised validation of 2 cluster analysis solutions

Color image segmentation of the Berkeley 300 segmentation dataset using K-Means and Fuzzy C-Means. Normalized Probabilistic Rand Index for quantitative analysis.

Implementation of Machine Learning metrics for Pharo

Bioinformatics project

UW 2023S FDA

Unsupervised segmentation of customers of an e-commerce site

Projet de segmentation de clientèle - Classification non supervisée

Cluster analysis of shape features in famous datasets

3rd-year university project in ML/DL

Analysis of the Salinas hyperspectral image dataset using advanced clustering algorithms, focusing on identifying homogeneous regions in the image. Implementations of cost-function optimization and hierarchical clustering techniques, along with evaluations and visualizations in reduced-dimensional spaces.

A comprehensive data science and ML project portfolio - featuring six end-to-end projects. Showcases expertise in unsupervised clustering, supervised classification and regression, deep learning architectures, advanced feature selection, and full-stack web application deployment across healthcare, finance, bioinformatics, and real estate domains.