Decoding Depression via EEG Biomarkers: A Neurocomputational Approach using Machine and Deep Learning
This project was conducted as part of Brainhack School 2025. It aimed to classify major depressive disorder (MDD) using temporal-domain EEG features (i.e., band power), applying both machine learning (SVM) and deep learning (EEGNet) models.