By Benjamin Doyle, 5/2/2018

This is my final project for Python for Data Science (CSCI E-29) at Harvard Extension School, Spring 2018. I use a Gaussian Naive Bayes machine learning classifier in Python to try predicting which decade a song was released, based on it's harmonic and timbre features.

The dataset used was from an article by Matthias Mauch et al., "The evolution of popular music: USA 1960-2010". The graphs shown in the powerpoint and pdf are from the same article.

Article URL: http://rsos.royalsocietypublishing.org/content/2/5/150081

Dataset URL: https://figshare.com/articles/Main_Dataset_for_Evolution_of_Popular_Music_USA_1960_2010_/1309953