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https://github.com/krishnakalyan3/awesome-kaggle
Kaggle competition : Code and Solutions
https://github.com/krishnakalyan3/awesome-kaggle
List: awesome-kaggle
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Kaggle competition : Code and Solutions
- Host: GitHub
- URL: https://github.com/krishnakalyan3/awesome-kaggle
- Owner: krishnakalyan3
- Created: 2016-05-21T20:07:15.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-02-26T23:36:02.000Z (over 7 years ago)
- Last Synced: 2024-05-22T08:34:30.520Z (4 months ago)
- Size: 7.81 KB
- Stars: 17
- Watchers: 3
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: contributing.md
Awesome Lists containing this project
- awesome-of-awesome-ml - awesome-kaggle (by krishnakalyan3)
README
[](https://github.com/sindresorhus/awesome)
# awesome-kaggle
Curated list of kaggle kaggle solutions.
This is a work in progress, so if you know any solutions that are not mentioned here, please do a PR!
## Table of Contents
* **[Allstate Claims Severity](#allstate-claims-severity)**
* **[BNP Paribas Cardif Claims Management](#bnp-paribas-cardif-claims-management)**
* **[Depot Product Search Relevance](#depot-product-search-relevance)**
* **[March Machine Learning Mania 2016](#march-machine-learning-mania-2016)**
* **[National Data Science Bowl](#national-data-science-bowl)**
* **[KDD Cup 2013 Track 2](#kdd-cup-2013-track-2)**
* **[Extras](#extras)**
### Allstate Claims Severity
- [1][[Solution](https://www.kaggle.com/c/allstate-claims-severity/discussion/26416)] by Bishwarup B
- [7][[Solution](https://www.kaggle.com/c/allstate-claims-severity/discussion/26537)] by Gilberto Titericz Junior
### BNP Paribas Cardif Claims Management
- [1][[Solution](https://www.kaggle.com/c/bnp-paribas-cardif-claims-management/forums/t/20247/1-dexter-s-lab-winning-solution)] by Dexter's Lab
- [2][[Solution](https://www.kaggle.com/c/bnp-paribas-cardif-claims-management/forums/t/20252/escalated-chi-2nd-place-solution)] by Escalated Chi
### National Data Science Bowl
- [1][[Solution](http://benanne.github.io/2015/03/17/plankton.html)][[Code](https://github.com/benanne/kaggle-ndsb)] by Aäron van den Oord
### Depot Product Search Relevance
- [1][[Solution](http://blog.kaggle.com/2016/05/18/home-depot-product-search-relevance-winners-interview-1st-place-alex-andreas-nurlan/)] by Alex, Andreas, & Nurlan
### March Machine Learning Mania 2016
- [1][[Solution](http://blog.kaggle.com/2016/05/10/march-machine-learning-mania-2016-winners-interview-1st-place-miguel-alomar/)] by Miguel Alomar
### KDD Cup 2013 Track 2
- [1][[Code](https://github.com/kdd-cup-2013-ntu/track2)] by Cheng-Xia et all.
### extras
- [Kaglle Decal](https://www.youtube.com/watch?v=RUrXA9koSCw&list=PLe1ZejL9wM_4qG-EEM4iqudPKGKdZG-6h&index=1)
- [Fast AI](http://www.fast.ai/)
- [Kaggle Ensembling Guide](http://mlwave.com/kaggle-ensembling-guide/)
- [Winning Data Science Competitions by Owen Zhang](http://de.slideshare.net/ShangxuanZhang/winning-data-science-competitions-presented-by-owen-zhang)
- [Learning from the best](http://blog.kaggle.com/2014/08/01/learning-from-the-best/)
## License
[](http://creativecommons.org/publicdomain/zero/1.0/)
To the extent possible under law, Krishna Kalyan has waived all copyright and related or neighboring rights to this work.