/BayesML_Final_Project

Primary LanguageJupyter NotebookMIT LicenseMIT

BayesML_Final_Project

Authors:

Ryan Lipps (rhl8pk@virginia.edu), Sydney Mathiason (qex8sd@virginia.edu)

Welcome!

Hello! Welcome to the README of our final project.

To start, you will need to download the data from Kaggle here: https://www.kaggle.com/datasets/sherrytp/airline-delay-analysis

The data files should be in the same folder as the notebook in order to run.

The data used for this project spans 2015 through 2019.

WARNING!

The data files are very large and the notebook takes up roughly 75GB of RAM to run, despite thorough memory management in the code.

How to:

Overall the notebook is heavily commented and guides readers through the project.