Music Classifier
For the final project in Principles of Machine Learning (Fall 2023), we had to build something open-ended. I chose to build a classifier that could tell apart different subgenres of metal music. I extracted audio features from the tracks, trained a model on them, and measured how well it could predict the subgenre on held-out data. I will add the specific features (e.g. MFCCs, spectrograms), model architecture, and accuracy numbers when I have the writeup in front of me.