https://github.com/justmarkham/kaggle-pycon-2015
Solution code from my winning submission to Kaggle's PyCon 2015 competition
https://github.com/justmarkham/kaggle-pycon-2015
Last synced: 9 months ago
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Solution code from my winning submission to Kaggle's PyCon 2015 competition
- Host: GitHub
- URL: https://github.com/justmarkham/kaggle-pycon-2015
- Owner: justmarkham
- Created: 2015-04-09T19:57:51.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2015-04-09T20:35:47.000Z (almost 11 years ago)
- Last Synced: 2025-04-30T11:14:31.266Z (9 months ago)
- Language: Python
- Size: 165 KB
- Stars: 55
- Watchers: 5
- Forks: 41
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Kaggle's PyCon 2015 competition
At [PyCon 2015](https://us.pycon.org/2015/), Kaggle hosted a small competition during their tutorial: [Winning Machine Learning Competitions with scikit-learn](https://us.pycon.org/2015/schedule/presentation/321/). There were 28 teams, and we had less than three hours to work on the problem.
- [Code](kaggle.py) from my first place submission
- [Tutorial repo](https://github.com/dchudz/pycon2015-kaggle-tutorial)
- [Competition page](https://inclass.kaggle.com/c/pycon-2015-tutorial)
- [Data files](https://inclass.kaggle.com/c/pycon-2015-tutorial/data)
- [Final leaderboard](https://inclass.kaggle.com/c/pycon-2015-tutorial/leaderboard)
Feel free to [contact me](http://www.dataschool.io/about/) with any questions! If you'd like to **learn how to use scikit-learn for machine learning**, I have a new [series of video tutorials](http://blog.kaggle.com/author/kevin-markham/) covering that topic that are hosted on Kaggle's blog.
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