This project predicts song genres using audio features like energy, loudness, tempo, and danceability. It includes preprocessing, EDA, and ML classification (KNN) with reusable classes for visualization and model testing. Results show features hold strong predictive power, with potential for advanced models.
Project for Northeastern University DS2500