This repository holds the code, data, and paper from a class project completed by the two collaborators (Duncan Tulimieri and Devin Austin).
Author Contributions: Conceptualization: D.T. and D.A.; Methodology: D.T. and D.A.; Validation: D.T. and D.A.; Analysis: D.T. and D.A.; Writing: D.T. and D.A.
We used Python to perform all analyses. All code to recreate all analysis and figures can be found in the code folder.
The data used for this project can from the University of California Irvine Machine Learning Repository. The specific webpage for the data set can be found here.
The paper for this project can be found in the documents folder as well as on the project's website.