Woodbine Racetrack is a long-standing institution for horse racing in Toronto, Ontario. Data on 4 years worth of its horse races are available on Kaggle, and in order to learn about neural networks, we attempted to use it to build a model that could predict the winner of a horse race.
After all, betting on a horse race can be intimating - and why are we studying AI if not to see if we can use technology to help us with problems like this?
- Clone the repository.
- Download the dataset from Kaggle.
- Install the appropriate python packages in your local environment.
- Run Woodbine_project.ipynb
To submit changes to this repo, please do the following steps:
- Make your changes in a new branch
- Upload your ipynb code as a .py so we can compare changes
- Open a Pull Request (PR) in Github, attempting to merge your branch into main, and request reviews from the group
- When you have approvals, merge your pull request
- Daniel Siegel - 101367445
- Michael McAllister - 101359469
- Hom Kandel - 101385341
- Eduardo Bastos de Moraes - 101345799
- Juan Clackworthy - 101372229