Kaggle 机器学习竞赛冠军及优胜者的源代码汇总
2017-06-25 11:47
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http://dataunion.org/14892.html
Kaggle比赛源代码和讨论的收集整理。
Solution
whitepaper41.
Solution
thread30.
Rank 2 solution code33 by
Alessandro Mariani.
Rank 10 solution code6 by
B1aine.
Rank
36 solution cod2e by
Hiroyuki.
Rank
159 solution code1 by
MrCanard.
Solution
thread2.
Rank 1 solution code40 by Paul
Duan and Benjamin Solecki team.
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.
Rank
1 solution code5 and description4 by
Leustagos team.
Rank
2 solution code1 and description by
Toulouse.
Rank 3 solution
code1 and description by
Owen Zhang.
Rank
4 solution escription by Peter Prettenhofer.
Rank
5 solution description by Domcastro.
Rank
58 solution code and description by Davit.
Solution
thread here.
Ridge Regression
starter code with MAE about 2.2M by Alec Radford, original thread here.
Improved starter code by
Foxtrot.
Baseline
code with MAE about 2.6M using Catmull-Rom Spline interpolation, also available in Rhereand here.
Solution
thread.
Rank 1 solution
code7 and description3 by
Charlie Tang.
Rank
3 solution description4 by
Maxim Milakov.
Solution
thread.
Rank
1 solution description1 by
David Thaler.
Rank
2 solution code and description by sayit.
Rank
1 solution3 by
MMDL.
Solution
thread2.
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 by Yasser Tabandeh.
Rank
6 solution by Andreas Mueller, code available here.
Rank
8 solution description1 by
Steve Poulson.
Solution
thread.
Rank
4 solution description2 by
Steffen Rindle.
Rank
18 solution code and description1 by
Vlad Gusev.
Rank 34 solution code and description by
zenog.
Solution
thread.
Rank 1 solution code3 and description1 by
Sander Dieleman.
Rank
2 solution code and description 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 by
Soumith Chintala.
Rank 13 solution code and description 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.
Rank
1 solution by Leustagos.
Solution thread here2.
Rank
1 solution with code and description4 by
Team Algorithm, Github link to code here1.
Rank
1 solution with code and description5 by
Team Algorithm, Github link to code here1.
Rank
2 solution1 by
SmallData Team.
Rank
3 solution1 by
hustmonk.
Rank
4 solution1 by
Ben S.
Solution
thread1.
Rank
1 solution code and description9 by
anttip.
Rank 3 solution code2 and description2 by
nagadomi.
Solution
thread one3.
Solution
thread two2.
Rank
2 solution1 and description2 by
HelloWorld.
Rank 12 solution1 and description1 by
David McGarry.
Solution
thread1.
Ideas
sharing discussion thread.
Preprocessing
techniques discussion thread.
Rank 1 solution code4 and description by
beluga.
Rank 2 solution
code1 and description by
Herbal Candy (W and thomeou).
Rank
3 solution description by Anil Thomas.
Rank
4 solution description by Maxim Milakov.
Solution
thread.
Rank
2 solution1 by
Iain Murray, code available here.
Yet
another solution thread1.
Solution
thread2.
Presentation
paper/slides1 for
ICDM 2013.
Solution
thread1.
Rank
6 solution by Shea Parkes & Neil Schneider team.
Rank 17 solution of Ensemble of RandomForests,
GradientBoostingTrees and ExtraTreesRegressorby Emanuele Olivetti.
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.
Rank 10 solution by
Marco Lui.
Rank
33 solution by Foxtrot.
Solution
thread1.
Solution
thread.
Benchmark
beater 1.
Benchmark
beater 2.
Benchmark
beater 3.
Solution
thread.
My
own solution, which is a good example of what is overfitting. (Public rank: 57, Private rank: 291)
Rank 17 solution
code and description by
Foxtrot.
Solution
thread.
Rank 1 solution 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.
Rank 1 solution code7 and description1 by
David Thaler.
Rank
2 solution description1 by
sriok.
Rank 3 solution code and description1 by
James King.
Rank
5 solution description 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 by
yr.
Rank
29 solution code and description by
Mike Kim.
Rank
30 solution description by dkay.
Solution
thread.
Thank you Foxtrot, James
Petterson, Ben S for providing some of the links and solutions
above
转载自:http://blog.csdn.net/mmc2015/article/details/47321973
Kaggle比赛源代码和讨论的收集整理。
Algorithmic
Trading Challenge40
Solutionwhitepaper41.
Solution
thread30.
Allstate
Purchase Prediction Challenge7
Rank 2 solution code33 byAlessandro Mariani.
Rank 10 solution code6 by
B1aine.
Rank
36 solution cod2e by
Hiroyuki.
Rank
159 solution code1 by
MrCanard.
Solution
thread2.
Amazon.com
– Employee Access Challenge10
Rank 1 solution code40 by PaulDuan and Benjamin Solecki team.
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
Rank1 solution code5 and description4 by
Leustagos team.
Rank
2 solution code1 and description by
Toulouse.
Rank 3 solution
code1 and description by
Owen Zhang.
Rank
4 solution escription by Peter Prettenhofer.
Rank
5 solution description by Domcastro.
Rank
58 solution code and description by Davit.
Solution
thread here.
Ridge Regression
starter code with MAE about 2.2M by Alec Radford, original thread here.
Improved starter code by
Foxtrot.
Baseline
code with MAE about 2.6M using Catmull-Rom Spline interpolation, also available in Rhereand here.
Belkin
Energy Disaggregation Competition1
Solutionthread.
Challenges
in Representation Learning: Facial Expression Recognition Challenge4
Rank 1 solutioncode7 and description3 by
Charlie Tang.
Rank
3 solution description4 by
Maxim Milakov.
Solution
thread.
Challenges
in Representation Learning: The Black Box Learning Challenge1
Rank1 solution description1 by
David Thaler.
Rank
2 solution code and description by sayit.
Challenges
in Representation Learning: Multi-modal Learning3
Rank1 solution3 by
MMDL.
Solution
thread2.
Detecting
Insults in Social Commentary
Rank1 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 by Yasser Tabandeh.
Rank
6 solution by Andreas Mueller, code available here.
Rank
8 solution description1 by
Steve Poulson.
Solution
thread.
EMI
Music Data Science Hackathon
Rank4 solution description2 by
Steffen Rindle.
Rank
18 solution code and description1 by
Vlad Gusev.
Rank 34 solution code and description by
zenog.
Solution
thread.
Galaxy
Zoo – The Galaxy Challenge
Rank 1 solution code3 and description1 bySander Dieleman.
Rank
2 solution code and description 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 by
Soumith Chintala.
Rank 13 solution code and description 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.
Global
Energy Forecasting Competition 2012 – Wind Forecasting
Rank1 solution by Leustagos.
Solution thread here2.
KDD
Cup 2013 – Author-Paper Identification Challenge (Track 1)2
Rank1 solution with code and description4 by
Team Algorithm, Github link to code here1.
KDD
Cup 2013 – Author Disambiguation Challenge (Track 2)1
Rank1 solution with code and description5 by
Team Algorithm, Github link to code here1.
Rank
2 solution1 by
SmallData Team.
Rank
3 solution1 by
hustmonk.
Rank
4 solution1 by
Ben S.
Solution
thread1.
Large
Scale Hierarchical Text Classification4
Rank1 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
Rank2 solution1 and description2 by
HelloWorld.
Rank 12 solution1 and description1 by
David McGarry.
Solution
thread1.
Merck
Molecular Activity Challenge1
Ideassharing discussion thread.
Preprocessing
techniques discussion thread.
MLSP
2013 Bird Classification Challenge
Rank 1 solution code4 and description bybeluga.
Rank 2 solution
code1 and description by
Herbal Candy (W and thomeou).
Rank
3 solution description by Anil Thomas.
Rank
4 solution description by Maxim Milakov.
Solution
thread.
Observing
the Dark World
Rank2 solution1 by
Iain Murray, code available here.
PAKDD
2014 – ASUS Malfunctional Components Prediction
Yetanother solution thread1.
Solution
thread2.
Personalize
Expedia Hotel Searches – ICDM 2013
Presentationpaper/slides1 for
ICDM 2013.
Solution
thread1.
Predicting
a Biological Response1
Rank6 solution by Shea Parkes & Neil Schneider team.
Rank 17 solution of Ensemble of RandomForests,
GradientBoostingTrees and ExtraTreesRegressorby Emanuele Olivetti.
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 byMarco Lui.
Rank
33 solution by Foxtrot.
See
Click Predict Fix2
Solutionthread1.
See
Click Predict Fix – Hackathon1
Solutionthread.
StumbleUpon
Evergreen Classification Challenge
Benchmarkbeater 1.
Benchmark
beater 2.
Benchmark
beater 3.
Solution
thread.
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 solutioncode and description by
Foxtrot.
Solution
thread.
The
Marinexplore and Cornell University Whale Detection Challenge
Rank 1 solution by NickKridler.
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
Rank 1 solution code7 and description1 byDavid Thaler.
Rank
2 solution description1 by
sriok.
Rank 3 solution code and description1 by
James King.
Rank
5 solution description 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 by
yr.
Rank
29 solution code and description by
Mike Kim.
Rank
30 solution description by dkay.
Solution
thread.
Thank you Foxtrot, James
Petterson, Ben S for providing some of the links and solutions
above
转载自:http://blog.csdn.net/mmc2015/article/details/47321973
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