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

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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 (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-03-11T15:43:05.000Z (over 6 years ago)
• Last Synced: 2024-09-27T23:23:53.998Z (6 days 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
• Metadata Files:
  • Readme: README.md

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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)