This project is part of the second segment of the STA203 : Statistical learning course at ENSTA Paris. It focuses on supervised learning. The objective is to compare several classification methods applied to the dataset Music_2023.txt, which contains jazz and classical music pieces.
In this part, we begin by performing logistic regression.
In this section, we utilize ridge regression.
Finally, we apply the K-nearest neighbors method.