https://github.com/adeshpande3/march-madness-2017
Kaggle Competition for Predicting NCAA Basketball Tourney Games
https://github.com/adeshpande3/march-madness-2017
ipython-notebook kaggle machine-learning march-madness sportsanalytics
Last synced: 3 months ago
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Kaggle Competition for Predicting NCAA Basketball Tourney Games
- Host: GitHub
- URL: https://github.com/adeshpande3/march-madness-2017
- Owner: adeshpande3
- Created: 2017-02-03T01:41:11.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2018-03-11T15:43:05.000Z (over 7 years ago)
- Last Synced: 2025-02-01T10:23:12.189Z (10 months ago)
- Topics: ipython-notebook, kaggle, machine-learning, march-madness, sportsanalytics
- Language: Jupyter Notebook
- Size: 16.2 MB
- Stars: 71
- Watchers: 9
- Forks: 52
- Open Issues: 1
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# March-Madness-2017
Kaggle Competition for Predicting NCAA Basketball Tourney Games. [Link](https://adeshpande3.github.io/adeshpande3.github.io/Applying-Machine-Learning-to-March-Madness) to the associated blog post I wrote.
* **March Madness 2017.ipynb** - File with all the main data anaylsis and machine learning models.
* **Machine Learning and Data Analysis.ipynb** - More for experimental models and a couple more data visualizations.
* **Predictions for 2017 Bracket.ipynb** - Shows you how to create the prediction CSV file in a format that is suitable for Kaggle.
* **Applying Deep Learning.ipynb** - Tried deep learning models (TLDR: They didn't really work)
[Round 2 (March Madness 2018)](https://github.com/adeshpande3/March-Madness-2018)