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Applying machine learning and convex optimization to the UFC betting market (based on data from ehan03/UFC-Predict)

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CPSC 381 Final Project

Applying Machine Learning and Convex Optimization to the UFC Betting Market

Team Members: Eugene Han, Matt Russo, Alex Yuan, Aaron Yu

Setup

  1. Install Python. The project was developed using Python 3.8, but any version >= 3.8 should work.

  2. Create a virtual environment in the project directory and install the required packages:

pip install -r requirements.txt
  1. Run the Jupyter notebook walkthrough.ipynb inside the notebooks folder to see the project in action and replicate the results presented in the report.

The report and proposal can be found in the pdfs folder.

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