Apologies for the tar.xz compression, I had to get it all fit onto datahub to run on their A30s. (Installing the CuML libraires requires the entire RAPIDS Suite, by itself is over 9 GBs in size, and file storage quota is 10GB)

The final paper can be viewed in final_paper.pdf

The related graphs as data visualizations are within the jupyter_scripts

Special Shoutout to my own v100 because I could not get a A30 during finals week.

To run the data extraction pipeline, please decompress the data.tar.xz into the same folder and run the python scripts location in the scripts folder individually.

To run each model, they are stored within jupyternotebooks