An attempt to use machine learning to fit Spotify audio features to Spotify "Popularity" index. See the Spotify_ML.pdf for a brief overview and the code for more in depth information.
create_data.ipynb creates a csv of Spotify songs for late use (you need your own API key for this).
data_fitting.ipynb is the analysis and machine learning notebook.
XGB_fitting.ipynb is the XGB version of machine learning analysis.
Note: these notebooks were created using the VSCode notebook extension. There seems to be compatibility between Jupyter Lab and VSCode (relating to the EOL terminators used in both).