https://github.com/yandexdataschool/flavours-of-physics-start
Starter kit for "Flavours of Physics" challenge at Kaggle
https://github.com/yandexdataschool/flavours-of-physics-start
Last synced: 2 months ago
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Starter kit for "Flavours of Physics" challenge at Kaggle
- Host: GitHub
- URL: https://github.com/yandexdataschool/flavours-of-physics-start
- Owner: yandexdataschool
- Created: 2015-07-20T16:16:58.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2015-11-11T18:12:54.000Z (over 9 years ago)
- Last Synced: 2025-03-24T16:11:26.707Z (3 months ago)
- Language: Python
- Homepage: https://www.kaggle.com/c/flavours-of-physics
- Size: 265 KB
- Stars: 41
- Watchers: 15
- Forks: 49
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
First submission
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Follow the instructions [First submission (python)](https://github.com/yandexdataschool/flavours-of-physics-start/wiki/First-submission-(python)) to prepare your first solution
More complex models
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Follow [TMVA training, Boosting to uniformity](https://github.com/yandexdataschool/flavours-of-physics-start/wiki/TMVA-training,-Boosting-to-uniformity) to play with another machine learning library or to use 'flatness-oriented' classifiers
ROOT Submission
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We have prepared c code to run TMVA in ROOT to produce submission. Follow the instructions [First submission using root (c++)](https://github.com/yandexdataschool/flavours-of-physics-start/wiki/First-submission-(root,-С))