Kaggle 机器学习竞赛冠军及优胜者的源代码汇总

╰半夏微凉° 2022-08-18 11:47 468阅读 0赞

Kaggle比赛源代码和讨论的收集整理。

## [Algorithmic Trading Challenge40][] ##

*  [Solution whitepaper41][].
 *  [Solution thread30][].

## [Allstate Purchase Prediction Challenge7][] ##

*  [Rank 2 solution code33][] by Alessandro Mariani.
 *  [Rank 10 solution code6][] by B1aine.
 *  [Rank 36 solution cod2][]e by Hiroyuki.
 *  [Rank 159 solution code1][] by MrCanard.
 *  [Solution thread2][].

## [Amazon.com – Employee Access Challenge10][Amazon.com _ Employee Access Challenge10] ##

*  [Rank 1 solution code40][] by Paul Duan and Benjamin Solecki team.
 *  [Rank 1 solution Q&A5][Rank 1 solution Q_A5] by Paul Duan.
 *  [Rank 2 solution code1][] by Owen Zhang.
 *  [Rank 3 solution code3][] by Dmitry & Leustagos.
 *  [Rank 289 solution code][] by Foxtrot with original blog post [here][].
 *  [Solution thread][].

## [AMS 2013-2014 Solar Energy Prediction Contest2][] ##

*  [Rank 1 solution code5][] and [description4][] by Leustagos team.
 *  [Rank 2 solution code1][Rank 2 solution code1 1] and [description][] by Toulouse.
 *  [Rank 3 solution code1][] and [description][description 1] by Owen Zhang.
 *  [Rank 4 solution escription][] by Peter Prettenhofer.
 *  [Rank 5 solution description][] by Domcastro.
 *  [Rank 58 solution code][] and [description][description 2] by Davit.
 *  [Solution thread here][].
 *  [Ridge Regression starter code][] with MAE about 2.2M by Alec Radford, original thread [here][here 1].
 *  [Improved starter code][] by Foxtrot.
 *  [Baseline code][] with MAE about 2.6M using Catmull-Rom Spline interpolation, also available in R [here][here 2]and [here][here 3].

## [Belkin Energy Disaggregation Competition1][] ##

*  [Solution thread][Solution thread 1].

## [Challenges in Representation Learning: Facial Expression Recognition Challenge4][Challenges in Representation Learning_ Facial Expression Recognition Challenge4] ##

*  [Rank 1 solution code7][] and [description3][] by Charlie Tang.
 *  [Rank 3 solution description4][] by Maxim Milakov.
 *  [Solution thread][Solution thread 2].

## [Challenges in Representation Learning: The Black Box Learning Challenge1][Challenges in Representation Learning_ The Black Box Learning Challenge1] ##

*  [Rank 1 solution description1][] by David Thaler.
 *  [Rank 2 solution code and description][] by sayit.

## [Challenges in Representation Learning: Multi-modal Learning3][Challenges in Representation Learning_ Multi-modal Learning3] ##

*  [Rank 1 solution3][] by MMDL.
 *  [Solution thread2][Solution thread2 1].

## [Detecting Insults in Social Commentary][] ##

*  [Rank 1 solution description4][] and [code1][] by Vivek Sharma.
 *  [Rank 2 solution1][] by tuzzeg.
 *  [Rank 3 solution description][] Andrei Olariu.
 *  [Rank 4 solution][] by Chris Brew.
 *  [Rank 5 solution description][Rank 5 solution description 1] by Yasser Tabandeh.
 *  [Rank 6 solution][] by Andreas Mueller, code available [here][here 4].
 *  [Rank 8 solution description1][] by Steve Poulson.
 *  [Solution thread][Solution thread 3].

## [EMI Music Data Science Hackathon][] ##

*  [Rank 4 solution description2][] by Steffen Rindle.
 *  [Rank 18 solution code and description1][] by Vlad Gusev.
 *  [Rank 34 solution code][] and [description][description 3] by zenog.
 *  [Solution thread][Solution thread 4].

## [Galaxy Zoo – The Galaxy Challenge][Galaxy Zoo _ The Galaxy Challenge] ##

*  [Rank 1 solution code3][] and [description1][] by Sander Dieleman.
 *  [Rank 2 solution code][] and [description][description 4] by Maxim Milakov.
 *  [Rank 3 solution code and description][] by tund.
 *  [Rank 5 solution code and description][] by Julian de Wit.
 *  [Rank 9 solution code][] and [description][description 5] by Soumith Chintala.
 *  [Rank 13 solution code][] and [description][description 6] by Xiaoxiang Zhang.
 *  [Rank 28 solution code and description][] by utdiscant.
 *  [Rank 38 solution code and description][] by sugi.
 *  [Rank 57 solution code and description1][] by hxu.
 *  [Rank 58 solution code and description][] by yr.
 *  [Solution thread][Solution thread 5].

## [Global Energy Forecasting Competition 2012 – Wind Forecasting][Global Energy Forecasting Competition 2012 _ Wind Forecasting] ##

*  [Rank 1 solution][] by Leustagos.
 *  Solution thread [here2][].

## [KDD Cup 2013 – Author-Paper Identification Challenge (Track 1)2][KDD Cup 2013 _ Author-Paper Identification Challenge _Track 1_2] ##

*  [Rank 1 solution with code and description4][] by Team Algorithm, Github link to code [here1][].

## [KDD Cup 2013 – Author Disambiguation Challenge (Track 2)1][KDD Cup 2013 _ Author Disambiguation Challenge _Track 2_1] ##

*  [Rank 1 solution with code and description5][] by Team Algorithm, Github link to code [here1][here1 1].
 *  [Rank 2 solution1][Rank 2 solution1 1] by SmallData Team.
 *  [Rank 3 solution1][] by hustmonk.
 *  [Rank 4 solution1][] by Ben S.
 *  [Solution thread1][].

## [Large Scale Hierarchical Text Classification4][] ##

*  [Rank 1 solution code and description9][] by anttip.
 *  [Rank 3 solution code2][] and [description2][] by nagadomi.
 *  [Solution thread one3][].
 *  [Solution thread two2][].

## [Loan Default Prediction – Imperial College London1][Loan Default Prediction _ Imperial College London1] ##

*  [Rank 2 solution1][Rank 2 solution1 2] and [description2][description2 1] by HelloWorld.
 *  [Rank 12 solution1][] and [description1][description1 1] by David McGarry.
 *  [Solution thread1][Solution thread1 1].

## [Merck Molecular Activity Challenge1][] ##

*  [Ideas sharing discussion thread][].
 *  [Preprocessing techniques discussion thread][].

## [MLSP 2013 Bird Classification Challenge][MLSP 2013 Bird Classification_Challenge] ##

*  [Rank 1 solution code4][] and [description][description 7] by beluga.
 *  [Rank 2 solution code1][Rank 2 solution code1 2] and [description][description 8] by Herbal Candy (W and thomeou).
 *  [Rank 3 solution description][Rank 3 solution description 1] by Anil Thomas.
 *  [Rank 4 solution description][] by Maxim Milakov.
 *  [Solution thread][Solution thread 6].

## [Observing the Dark World][] ##

*  [Rank 2 solution1][Rank 2 solution1 3] by Iain Murray, code available [here][here 5].

## [PAKDD 2014 – ASUS Malfunctional Components Prediction][PAKDD 2014 _ ASUS Malfunctional Components Prediction] ##

*  [Yet another solution thread1][].
 *  [Solution thread2][Solution thread2 2].

## [Personalize Expedia Hotel Searches – ICDM 2013][Personalize Expedia Hotel Searches _ ICDM 2013] ##

*  [Presentation paper/slides1][Presentation paper_slides1] for ICDM 2013.
 *  [Solution thread1][Presentation paper_slides1].

## [Predicting a Biological Response1][] ##

*  [Rank 6 solution][Rank 6 solution 1] by Shea Parkes & Neil Schneider team.
 *  [Rank 17 solution of Ensemble of RandomForests, GradientBoostingTrees and ExtraTreesRegressor][Rank 17 solution of Ensemble of RandomForests_ GradientBoostingTrees and ExtraTreesRegressor]by Emanuele Olivetti.
 *  [Another solution code by Oblique Random Forest (oRF)][Another solution code by Oblique Random Forest _oRF] by Shea Parkes & Neil Schneider team.
 *  [The code of my best submission][] thread. Talks about Multi-core training Oblique Random Forests, and Stacking.
 *  [Question about the process of ensemble learning][] thread. Talks about applying ensembles in practice, and how can problems arise and how to deal with them.

## [Predicting Closed Questions on Stack Overflow][] ##

*  [Rank 10 solution][] by Marco Lui.
 *  [Rank 33 solution][] by Foxtrot.

## [See Click Predict Fix2][] ##

*  [Solution thread1][Solution thread1 2].

## [See Click Predict Fix – Hackathon1][See Click Predict Fix _ Hackathon1] ##

*  [Solution thread][Solution thread 7].

## [StumbleUpon Evergreen Classification Challenge][] ##

*  [Benchmark beater 1][].
 *  [Benchmark beater 2][].
 *  [Benchmark beater 3][].
 *  [Solution thread][Solution thread 8].
 *  [My own solution][], which is a good example of what is overfitting. (Public rank: 57, Private rank: 291)

## \[The Analytics Edge (15.071x)\](The%20Analytics Edge (15.071x)) ##

*  [Rank 17 solution code][] and [description][description 9] by Foxtrot.
 *  [Solution thread][Solution thread 9].

## [The Marinexplore and Cornell University Whale Detection Challenge][] ##

*  [Rank 1 solution][Rank 1 solution 1] by Nick Kridler.
 *  [Rank 7 solution][] by Gilles Louppe and Peter Prettenhofer team.
 *  [Rank 8 solution][] by Sander Dieleman.
 *  [Rank 56 solution][] by Sudeep Juvekar.
 *  [Solution discussion thread][].
 *  [Mean spectogram thread][].
 *  [Official interview][] from the Marinexplorer and Cornell at Kaggle.

## [Walmart Recruiting – Store Sales Forecasting1][Walmart Recruiting _ Store Sales Forecasting1] ##

*  [Rank 1 solution code7][Rank 1 solution code7 1] and [description1][description1 2] by David Thaler.
 *  [Rank 2 solution description1][] by sriok.
 *  [Rank 3 solution code][] and [description1][description1 3] by James King.
 *  [Rank 5 solution description][Rank 5 solution description 2] by ACS69.
 *  [Rank 6 solution description][] by T. Henry.
 *  [Rank 8 solution description][] by BreakfastPirate.
 *  [Rank 9 solution description][] by Neil Summers.
 *  [Rank 10 solution description][] by Gilberto Titericz Junior.
 *  [Rank 11 solution description][] by citynight.
 *  [Rank 16 solution code][] and [description][description 10] by yr.
 *  [Rank 29 solution code][] and [description][description 11] by Mike Kim.
 *  [Rank 30 solution description][] by dkay.
 *  [Solution thread][Solution thread 10].

Thank you [Foxtrot][], [James Petterson][], [Ben S][] for providing some of the links and solutions above.

文章出处：http://suanfazu.com/t/kaggle-ji-qi-xue-xi-jing-sai-guan-jun-ji-you-sheng-zhe-de-yuan-dai-ma-hui-zong/230

[Algorithmic Trading Challenge40]: http://www.kaggle.com/c/AlgorithmicTradingChallenge/
[Solution whitepaper41]: http://sugiyama-www.cs.titech.ac.jp/~sugi/2013/Kaggle.pdf
[Solution thread30]: http://www.kaggle.com/c/AlgorithmicTradingChallenge/forums/t/1236/winning-algo-code
[Allstate Purchase Prediction Challenge7]: http://www.kaggle.com/c/allstate-purchase-prediction-challenge
[Rank 2 solution code33]: https://github.com/alzmcr/allstate
[Rank 10 solution code6]: https://github.com/B1aine/kaggle-allstate
[Rank 36 solution cod2]: http://www.kaggle.com/c/allstate-purchase-prediction-challenge/forums/t/8218/solution-sharing/44905#post44905
[Rank 159 solution code1]: https://github.com/mrcanard/AllStateKaggle/tree/winningentry
[Solution thread2]: http://www.kaggle.com/c/allstate-purchase-prediction-challenge/forums/t/8218/solution-sharing
[Amazon.com _ Employee Access Challenge10]: http://www.kaggle.com/c/amazon-employee-access-challenge
[Rank 1 solution code40]: https://github.com/pyduan/amazonaccess
[Rank 1 solution Q_A5]: http://blog.kaggle.com/2013/08/29/qa-with-amazon-access-challenge-first-prize-winner-paul-duan/
[Rank 2 solution code1]: https://github.com/owenzhang/Kaggle-AmazonChallenge2013
[Rank 3 solution code3]: https://github.com/diefimov/amazon_employee_access_2013
[Rank 289 solution code]: https://github.com/zygmuntz/kaggle-amazon
[here]: http://www.fastml.com/amazon-aspires-to-automate-access-control/
[Solution thread]: http://www.kaggle.com/c/amazon-employee-access-challenge/forums/t/5283/winning-solution-code-and-methodology
[AMS 2013-2014 Solar Energy Prediction Contest2]: http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/
[Rank 1 solution code5]: https://github.com/lucaseustaquio/ams-2013-2014-solar-energy
[description4]: http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach/33783#post33783
[Rank 2 solution code1 1]: https://github.com/blazorth/AMS-2013-2014-Solar-Energy-Prediction-Contest
[description]: http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach/33802#post33802
[Rank 3 solution code1]: https://github.com/owenzhang/kaggle_AMS_2013_14_solar
[description 1]: http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach/33785#post33785
[Rank 4 solution escription]: http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach/34790#post34790
[Rank 5 solution description]: http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach/34820#post34820
[Rank 58 solution code]: https://github.com/davit-gh/Solar-Energy-Prediction-Contest
[description 2]: http://162.243.70.40/welcome-to-ghost/
[Solution thread here]: http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach
[Ridge Regression starter code]: http://www.kaggle.com/files/8744/starter_code.py
[here 1]: http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/5282/beating-the-benchmark-in-python-2230k-mae/28098#post28098
[Improved starter code]: https://github.com/zygmuntz/kaggle-solar
[Baseline code]: https://github.com/djgagne/solar_energy_prediction_contest
[here 2]: https://gist.github.com/dickoa/6078487
[here 3]: https://github.com/jlburkhead/solar/tree/master/R
[Belkin Energy Disaggregation Competition1]: http://www.kaggle.com/c/belkin-energy-disaggregation-competition
[Solution thread 1]: http://www.kaggle.com/c/belkin-energy-disaggregation-competition/forums/t/6168/congrats-jessica
[Challenges in Representation Learning_ Facial Expression Recognition Challenge4]: http://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/
[Rank 1 solution code7]: http://code.google.com/p/deep-learning-faces/
[description3]: http://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/forums/t/4676/thanks/25019#post25019
[Rank 3 solution description4]: http://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/forums/t/4676/thanks/25022#post25022
[Solution thread 2]: http://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/forums/t/4676/thanks
[Challenges in Representation Learning_ The Black Box Learning Challenge1]: http://www.kaggle.com/c/challenges-in-representation-learning-the-black-box-learning-challenge/
[Rank 1 solution description1]: http://www.kaggle.com/c/challenges-in-representation-learning-the-black-box-learning-challenge/forums/t/4717/1st-place-entry
[Rank 2 solution code and description]: http://www.kaggle.com/c/challenges-in-representation-learning-the-black-box-learning-challenge/forums/t/4726/2nd-place-entry-code-paper
[Challenges in Representation Learning_ Multi-modal Learning3]: http://www.kaggle.com/c/challenges-in-representation-learning-multi-modal-learning/
[Rank 1 solution3]: https://github.com/FangxiangFeng/deepnet/tree/master/deepnet/examples/multimodal_icml2013
[Solution thread2 1]: http://www.kaggle.com/c/challenges-in-representation-learning-multi-modal-learning/forums/t/4677/no-one-say-how-to-do-it/25023#post25023
[Detecting Insults in Social Commentary]: http://www.kaggle.com/c/detecting-insults-in-social-commentary
[Rank 1 solution description4]: http://www.kaggle.com/c/detecting-insults-in-social-commentary/forums/t/2744/what-did-you-use/14755#post14755
[code1]: http://www.kaggle.com/c/detecting-insults-in-social-commentary/forums/t/2744/what-did-you-use/15951#post15951
[Rank 2 solution1]: https://github.com/tuzzeg/detect_insults
[Rank 3 solution description]: http://webmining.olariu.org/my-first-kaggle-competition-and-how-i-ranked/
[Rank 4 solution]: https://github.com/cbrew/Insults
[Rank 5 solution description 1]: http://www.kaggle.com/c/detecting-insults-in-social-commentary/forums/t/2744/what-did-you-use/15060#post15060
[Rank 6 solution]: http://peekaboo-vision.blogspot.com/2012/09/recap-of-my-first-kaggle-competition.html
[here 4]: https://github.com/amueller/kaggle_insults/
[Rank 8 solution description1]: http://steve-p0ulson.blogspot.co.uk/2012/09/recently-i-entered-kaggle-detecting.html
[Solution thread 3]: http://www.kaggle.com/c/detecting-insults-in-social-commentary/forums/t/2744/what-did-you-use
[EMI Music Data Science Hackathon]: http://www.kaggle.com/c/MusicHackathon/
[Rank 4 solution description2]: http://www.kaggle.com/c/MusicHackathon/forums/t/2242/code-approach-sharing/12821#post12821
[Rank 18 solution code and description1]: http://www.kaggle.com/c/MusicHackathon/forums/t/2242/code-approach-sharing/12619#post12619
[Rank 34 solution code]: https://github.com/zenogantner/MyMediaLite
[description 3]: http://www.kaggle.com/c/MusicHackathon/forums/t/2242/code-approach-sharing/12622#post12622
[Solution thread 4]: http://www.kaggle.com/c/MusicHackathon/forums/t/2242/code-approach-sharing
[Galaxy Zoo _ The Galaxy Challenge]: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/
[Rank 1 solution code3]: https://github.com/benanne/kaggle-galaxies
[description1]: http://benanne.github.io/2014/04/05/galaxy-zoo.html
[Rank 2 solution code]: https://github.com/milakov/nnForge/tree/master/examples/galaxy_zoo
[description 4]: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41505#post41505
[Rank 3 solution code and description]: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/42505#post42505
[Rank 5 solution code and description]: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41549#post41549
[Rank 9 solution code]: https://github.com/soumith/galaxyzoo
[description 5]: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41523#post41523
[Rank 13 solution code]: https://github.com/zhangxiangxiao/GalaxyZoo
[description 6]: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41547#post41547
[Rank 28 solution code and description]: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41550#post41550
[Rank 38 solution code and description]: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41569#post41569
[Rank 57 solution code and description1]: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41605#post41605
[Rank 58 solution code and description]: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41501#post41501
[Solution thread 5]: http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches
[Global Energy Forecasting Competition 2012 _ Wind Forecasting]: http://www.kaggle.com/c/GEF2012-wind-forecasting/
[Rank 1 solution]: https://github.com/lucaseustaquio/gefcom-2012-wind-track
[here2]: http://www.kaggle.com/c/GEF2012-wind-forecasting/forums/t/3033/methods-used-and-preconditioning-of-data
[KDD Cup 2013 _ Author-Paper Identification Challenge _Track 1_2]: https://www.kaggle.com/c/kdd-cup-2013-author-paper-identification-challenge
[Rank 1 solution with code and description4]: http://www.kaggle.com/c/kdd-cup-2013-author-paper-identification-challenge/forums/t/5369/team-algorithm-s-papers-and-slides
[here1]: https://github.com/kdd-cup-2013-ntu/track1
[KDD Cup 2013 _ Author Disambiguation Challenge _Track 2_1]: http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation
[Rank 1 solution with code and description5]: http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/forums/t/5368/team-algoithm-s-papers-and-slides
[here1 1]: https://github.com/kdd-cup-2013-ntu/track2
[Rank 2 solution1 1]: http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/forums/t/5000/source-code-of-smalldata
[Rank 3 solution1]: http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/forums/t/4997/my-source-code
[Rank 4 solution1]: http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/forums/t/5009/4th-place-code
[Solution thread1]: http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/forums/t/4843/solutions
[Large Scale Hierarchical Text Classification4]: http://www.kaggle.com/c/lshtc
[Rank 1 solution code and description9]: http://www.kaggle.com/c/lshtc/forums/t/7980/winning-solution-description/43550#post43550
[Rank 3 solution code2]: https://github.com/nagadomi/kaggle-lshtc
[description2]: http://www.kaggle.com/c/lshtc/forums/t/7832/what-approach-did-you-take/42875#post42875
[Solution thread one3]: http://www.kaggle.com/c/lshtc/forums/t/7980/winning-solution-description
[Solution thread two2]: http://www.kaggle.com/c/lshtc/forums/t/7832/what-approach-did-you-take
[Loan Default Prediction _ Imperial College London1]: http://www.kaggle.com/c/loan-default-prediction/forums
[Rank 2 solution1 2]: https://github.com/HelloWorldLjc/Loan_Default_Prediction
[description2 1]: http://www.kaggle.com/c/loan-default-prediction/forums/t/7398/congratulation/40922#post40922
[Rank 12 solution1]: https://github.com/dmcgarry/Default_Loan_Prediction
[description1 1]: http://www.kaggle.com/c/loan-default-prediction/forums/t/7398/congratulation/40356#post40356
[Solution thread1 1]: http://www.kaggle.com/c/loan-default-prediction/forums/t/7398/congratulation
[Merck Molecular Activity Challenge1]: http://www.kaggle.com/c/MerckActivity/
[Ideas sharing discussion thread]: http://www.kaggle.com/c/MerckActivity/forums/t/2912/ideas-sharing
[Preprocessing techniques discussion thread]: http://www.kaggle.com/c/MerckActivity/forums/t/2900/what-do-you-use-to-preprocess-the-data
[MLSP 2013 Bird Classification_Challenge]: http://www.kaggle.com/c/mlsp-2013-birds
[Rank 1 solution code4]: https://github.com/gaborfodor/MLSP_2013
[description 7]: http://www.kaggle.com/c/mlsp-2013-birds/forums/t/5457/congratulations-to-the-winners/29159#post29159
[Rank 2 solution code1 2]: https://203.126.100.115/kaggle_submission_PS.rar
[description 8]: http://www.kaggle.com/c/mlsp-2013-birds/forums/t/5457/congratulations-to-the-winners/29017#post29017
[Rank 3 solution description 1]: http://www.kaggle.com/c/mlsp-2013-birds/forums/t/5457/congratulations-to-the-winners/29101#post29101
[Rank 4 solution description]: http://www.kaggle.com/c/mlsp-2013-birds/forums/t/5457/congratulations-to-the-winners/29092#post29092
[Solution thread 6]: http://www.kaggle.com/c/mlsp-2013-birds/forums/t/5457/congratulations-to-the-winners
[Observing the Dark World]: http://www.kaggle.com/c/DarkWorlds
[Rank 2 solution1 3]: http://homepages.inf.ed.ac.uk/imurray2/pub/12kaggle_dark/
[here 5]: http://homepages.inf.ed.ac.uk/imurray2/pub/12kaggle_dark/dw_murray_code-1.0.tar.gz
[PAKDD 2014 _ ASUS Malfunctional Components Prediction]: http://www.kaggle.com/c/pakdd-cup-2014/
[Yet another solution thread1]: http://www.kaggle.com/c/pakdd-cup-2014/forums/t/7573/what-did-you-do-to-get-to-the-top-of-the-board
[Solution thread2 2]: http://www.kaggle.com/c/pakdd-cup-2014/forums/t/7574/shall-we-start-discussing-the-ideas
[Personalize Expedia Hotel Searches _ ICDM 2013]: http://www.kaggle.com/c/expedia-personalized-sort/
[Presentation paper_slides1]: http://www.kaggle.com/c/expedia-personalized-sort/forums/t/6203/winning-algorithm
[Predicting a Biological Response1]: http://www.kaggle.com/c/bioresponse/
[Rank 6 solution 1]: https://www.kaggle.com/files/2676/DS06_nnet_Bagstack%20-%20Share.R
[Rank 17 solution of Ensemble of RandomForests_ GradientBoostingTrees and ExtraTreesRegressor]: https://github.com/emanuele
[Another solution code by Oblique Random Forest _oRF]: https://www.kaggle.com/c/bioresponse/forums/t/2045/the-code-of-my-best-submission/11709#post11709
[The code of my best submission]: https://www.kaggle.com/c/bioresponse/forums/t/2045/the-code-of-my-best-submission
[Question about the process of ensemble learning]: http://www.kaggle.com/c/bioresponse/forums/t/1889/question-about-the-process-of-ensemble-learning/10950#post10950
[Predicting Closed Questions on Stack Overflow]: https://www.kaggle.com/c/predict-closed-questions-on-stack-overflow
[Rank 10 solution]: https://github.com/saffsd/kaggle-stackoverflow2012
[Rank 33 solution]: http://fastml.com/predicting-closed-questions-on-stack-overflow/
[See Click Predict Fix2]: https://www.kaggle.com/c/see-click-predict-fix/
[Solution thread1 2]: https://www.kaggle.com/c/see-click-predict-fix/forums/t/6464/congratulations-to-the-winners
[See Click Predict Fix _ Hackathon1]: https://www.kaggle.com/c/the-seeclickfix-311-challenge/
[Solution thread 7]: https://www.kaggle.com/c/the-seeclickfix-311-challenge/forums/t/5911/congrats-to-the-winners-vecorization
[StumbleUpon Evergreen Classification Challenge]: http://www.kaggle.com/c/stumbleupon/
[Benchmark beater 1]: http://www.kaggle.com/c/stumbleupon/forums/t/5680/beating-the-benchmark-leaderboard-auc-0-878/30315#post30315
[Benchmark beater 2]: http://www.kaggle.com/c/stumbleupon/forums/t/5489/another-approach-to-beating-the-benchmark-auc-0-82881/29205#post29205
[Benchmark beater 3]: http://www.kaggle.com/c/stumbleupon/forums/t/5450/beating-the-benchmark-and-getting-auc-0-75109
[Solution thread 8]: http://www.kaggle.com/c/stumbleupon/forums/t/6184/what-did-you-use
[My own solution]: https://github.com/log0/stumbleupon_evergreen_classification_challenge
[Rank 17 solution code]: https://github.com/zygmuntz/kaggle-happiness
[description 9]: http://www.kaggle.com/c/the-analytics-edge-mit-15-071x/forums/t/8054/request-to-share-your-code-to-all-the-top-20s-on-leaderboard/44275#post44275
[Solution thread 9]: http://www.kaggle.com/c/the-analytics-edge-mit-15-071x/forums/t/8054/request-to-share-your-code-to-all-the-top-20s-on-leaderboard
[The Marinexplore and Cornell University Whale Detection Challenge]: http://www.kaggle.com/c/whale-detection-challenge/
[Rank 1 solution 1]: https://github.com/nmkridler/moby
[Rank 7 solution]: https://github.com/glouppe/kaggle-marinexplore
[Rank 8 solution]: https://github.com/benanne/kaggle-whales
[Rank 56 solution]: https://github.com/sjuvekar/Kaggle-MarineExplorer
[Solution discussion thread]: https://www.kaggle.com/c/whale-detection-challenge/forums/t/4254/congratulations/22678
[Mean spectogram thread]: http://www.kaggle.com/c/whale-detection-challenge/forums/t/3887/mean-spectrogram
[Official interview]: http://blog.kaggle.com/2013/05/06/summary-of-the-whale-detection-competition/
[Walmart Recruiting _ Store Sales Forecasting1]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/
[Rank 1 solution code7 1]: https://bitbucket.org/dthal/kaggle_walmart
[description1 2]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43915#post43915
[Rank 2 solution description1]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43811#post43811
[Rank 3 solution code]: http://ideone.com/pUw773
[description1 3]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43821#post43821
[Rank 5 solution description 2]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43960#post43960
[Rank 6 solution description]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43949#post43949
[Rank 8 solution description]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43848#post43848
[Rank 9 solution description]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43874#post43874
[Rank 10 solution description]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43854#post43854
[Rank 11 solution description]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/44090#post44090
[Rank 16 solution code]: https://github.com/ChenglongChen/Kaggle_Walmart-Recruiting-Store-Sales-Forecasting
[description 10]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43856#post43856
[Rank 29 solution code]: https://github.com/mikeskim/Walmart/blob/master/makeSubmission.R
[description 11]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43831#post43831
[Rank 30 solution description]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/44067#post44067
[Solution thread 10]: http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model
[Foxtrot]: http://www.fastml.com/
[James Petterson]: https://www.kaggle.com/users/5018/james-petterson
[Ben S]: http://www.kaggle.com/users/73603/ben-s