As part of my graduate degree in artificial intelligence, I took SEIS 763 - Machine Learning.
The final project of the course was a group effort where myself and a partner were able to choose, plan, and execute our own machine learning project. After some back and forth on ideas, we decided on a classification problem using the Spotify Tracks Dataset, found on Kaggle. We were going to attempt to classify tracks into their respective genres based on features in the dataset such as energy, dancibility, tempo, and others.
This project resulted in a report provided to the instructor and a presentation before our classmates. While I don’t believe that I can share the code for the project, below are several articles documenting the journey and outcome of the project, as well as some lessons learned and new ideas I’d like to explore further in the future.