[edit: last update at 2014/06/27. My apologies, have been very busy the past few months.]

We learn more from code, and from great code. Not necessarily always the 1st ranking solution, because we also learn what makes a stellar and just a good solution. I will post solutions I came upon so we can all learn to become better!

I collected the following source code and interesting discussions from the Kaggle held competitions for learning purposes. Not all competitions are listed because I am only manually collecting them, also some competitions are not listed due to no one sharing. I will add more as time goes by. Thank you.

## Algorithmic Trading Challenge

## Allstate Purchase Prediction Challenge

- Rank 2 solution code by Alessandro Mariani.
- Rank 10 solution code by B1aine.
- Rank 36 solution code by Hiroyuki.
- Rank 159 solution code by MrCanard.
- Solution thread.

## Amazon.com – Employee Access Challenge

- Rank 1 solution code by Paul Duan and Benjamin Solecki team.
- Rank 1 solution Q&A by Paul Duan.
- Rank 2 solution code by Owen Zhang.
- Rank 3 solution code by Dmitry & Leustagos.
- Rank 289 solution code by Foxtrot with original blog post here.
- Solution thread.

## AMS 2013-2014 Solar Energy Prediction Contest

- Rank 1 solution code and description by Leustagos team.
- Rank 2 solution code and description by Toulouse.
- Rank 3 solution code 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 R here and here.

## Belkin Energy Disaggregation Competition

## Challenges in Representation Learning: Facial Expression Recognition Challenge

- Rank 1 solution code and description by Charlie Tang.
- Rank 3 solution description by Maxim Milakov.
- Solution thread.

## Challenges in Representation Learning: The Black Box Learning Challenge

- Rank 1 solution description by David Thaler.
- Rank 2 solution code and description by sayit.

## Challenges in Representation Learning: Multi-modal Learning

- Rank 1 solution by MMDL.
- Solution thread.

## Detecting Insults in Social Commentary

- Rank 1 solution description and code by Vivek Sharma.
- Rank 2 solution 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 description by Steve Poulson.
- Solution thread.

## EMI Music Data Science Hackathon

- Rank 4 solution description by Steffen Rindle.
- Rank 18 solution code and description by Vlad Gusev.
- Rank 34 solution code and description by zenog.
- Solution thread.

## Galaxy Zoo – The Galaxy Challenge

- Rank 1 solution code and description 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 description by hxu.
- Rank 58 solution code and description by yr.
- Solution thread.

## Global Energy Forecasting Competition 2012 – Wind Forecasting

- Rank 1 solution by Leustagos.
- Solution thread here.

## KDD Cup 2013 – Author-Paper Identification Challenge (Track 1)

- Rank 1 solution with code and description by Team Algorithm, Github link to code here.

## KDD Cup 2013 – Author Disambiguation Challenge (Track 2)

- Rank 1 solution with code and description by Team Algorithm, Github link to code here.
- Rank 2 solution by SmallData Team.
- Rank 3 solution by hustmonk.
- Rank 4 solution by Ben S.
- Solution thread.

## Large Scale Hierarchical Text Classification

- Rank 1 solution code and description by anttip.
- Rank 3 solution code and description by nagadomi.
- Solution thread one.
- Solution thread two.

## Loan Default Prediction – Imperial College London

- Rank 2 solution and description by HelloWorld.
- Rank 12 solution and description by David McGarry.
- Solution thread.

## Merck Molecular Activity Challenge

## MLSP 2013 Bird Classification Challenge

- Rank 1 solution code and description by beluga.
- Rank 2 solution code 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

- Rank 2 solution by Iain Murray, code available here.

## PAKDD 2014 – ASUS Malfunctional Components Prediction

## Personalize Expedia Hotel Searches – ICDM 2013

- Presentation paper/slides for ICDM 2013.
- Solution thread.

## Predicting a Biological Response

- Rank 6 solution by Shea Parkes & Neil Schneider team.
- Rank 17 solution of Ensemble of RandomForests, GradientBoostingTrees and ExtraTreesRegressor by 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 by Marco Lui.
- Rank 33 solution by Foxtrot.

## See Click Predict Fix

## See Click Predict Fix – Hackathon

## StumbleUpon Evergreen Classification Challenge

- 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)

## The Analytics Edge (15.071x)

- Rank 17 solution code and description by Foxtrot.
- Solution thread.

## The Marinexplore and Cornell University Whale Detection Challenge

- 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.

## Walmart Recruiting – Store Sales Forecasting

- Rank 1 solution code and description by David Thaler.
- Rank 2 solution description by sriok.
- Rank 3 solution code and description 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.

AnkurThis is a really nice initiative!! Really looking forward to seeing more posts and highlights of solutions/code here. Keep up the good work ! Cheers !

StephenThanks so much for this. As a novice Kaggler this will be really beneficial. I shall try and assist to make the list more comprehensive by working on some of the other competitions and sending them through.

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Muhammad MasoodThank you so much and appreciated.

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ThomasAmazing post!

Thank you so much for putting those together.

Do you have any recommendation regarding the order one should check those?

Thank you again!

MatthieuSoluce Yandex Rank1:

http://research.microsoft.com/en-us/um/people/nickcr/wscd2014/papers/wscdchallenge2014dataiku.pdf

http://www.slideshare.net/kswapna9/ire-33664970

MatthieuError in previous post,

link to the slide: http://www.slideshare.net/Dataiku/dataiku-at-sf-datamining-meetup-kaggle-yandex-challenge

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LiangThank you, this is really helpful.

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