https://github.com/maxhalford/kaggle-march-madness-2019
:basketball: Men and women solutions for the 2019 edition of the Kaggle March Madness competition
https://github.com/maxhalford/kaggle-march-madness-2019
kaggle lightgbm march-madness ncaa-basketball python
Last synced: 4 months ago
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:basketball: Men and women solutions for the 2019 edition of the Kaggle March Madness competition
- Host: GitHub
- URL: https://github.com/maxhalford/kaggle-march-madness-2019
- Owner: MaxHalford
- Created: 2019-03-21T17:08:45.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-03-21T17:56:38.000Z (over 6 years ago)
- Last Synced: 2025-04-03T02:23:49.104Z (6 months ago)
- Topics: kaggle, lightgbm, march-madness, ncaa-basketball, python
- Language: Jupyter Notebook
- Homepage:
- Size: 190 KB
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Kaggle March Madness 2019
These are my solutions for the 2019 session of the so-called "March Madness" basketball tournament. I made a submission for women as well as for men. The models are very similar for both genders but there are a few differences. To run this solution yourself you'll want to want to put the data available from Kaggle and dump it in the appropriate directory. For example for women you can download the data from [here](https://www.kaggle.com/c/womens-machine-learning-competition-2019/data) and dump it in the `data/women` directory. Likewise there is one notebook for women, and one for men. The notebooks aren't heavy on comments but I made a point of writing idiomatic and readable code, so you shouldn't have too much difficulty in going through them.
Here are my predicted brackets for women (made with [bracketeer](https://github.com/cshaley/bracketeer/)):

And here they are for men:
