└── README.md /README.md: -------------------------------------------------------------------------------- 1 | Forked from [chioka.in](http://www.chioka.in/kaggle-competition-solutions/). 2 | 3 | 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! 4 | 5 | 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. 6 | 7 | ## [Algorithmic Trading Challenge](http://www.kaggle.com/c/AlgorithmicTradingChallenge/) 8 | 9 | * [Solution whitepaper](http://sugiyama-www.cs.titech.ac.jp/~sugi/2013/Kaggle.pdf). 10 | * [Solution thread](http://www.kaggle.com/c/AlgorithmicTradingChallenge/forums/t/1236/winning-algo-code). 11 | 12 | ## [Allstate Purchase Prediction Challenge](http://www.kaggle.com/c/allstate-purchase-prediction-challenge) 13 | 14 | * [Rank 2 solution code](https://github.com/alzmcr/allstate) by Alessandro Mariani. 15 | * [Rank 10 solution code](https://github.com/B1aine/kaggle-allstate) by B1aine. 16 | * [Rank 36 solution cod](http://www.kaggle.com/c/allstate-purchase-prediction-challenge/forums/t/8218/solution-sharing/44905#post44905)<span style="text-decoration: underline;">e</span> by Hiroyuki. 17 | * [Rank 159 solution code](https://github.com/mrcanard/AllStateKaggle/tree/winningentry) by MrCanard. 18 | * [Solution thread](http://www.kaggle.com/c/allstate-purchase-prediction-challenge/forums/t/8218/solution-sharing). 19 | 20 | ## [Amazon.com – Employee Access Challenge](http://www.kaggle.com/c/amazon-employee-access-challenge) 21 | 22 | * [Rank 1 solution code](https://github.com/pyduan/amazonaccess) by Paul Duan and Benjamin Solecki team. 23 | * [Rank 1 solution Q&A](http://blog.kaggle.com/2013/08/29/qa-with-amazon-access-challenge-first-prize-winner-paul-duan/) by Paul Duan. 24 | * [Rank 2 solution code](https://github.com/owenzhang/Kaggle-AmazonChallenge2013) by Owen Zhang. 25 | * [Rank 3 solution code](https://github.com/diefimov/amazon_employee_access_2013) by Dmitry & Leustagos. 26 | * [Rank 289 solution code](https://github.com/zygmuntz/kaggle-amazon) by Foxtrot with original blog post [here](http://www.fastml.com/amazon-aspires-to-automate-access-control/). 27 | * [Solution thread](http://www.kaggle.com/c/amazon-employee-access-challenge/forums/t/5283/winning-solution-code-and-methodology). 28 | 29 | ## [AMS 2013-2014 Solar Energy Prediction Contest](http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/) 30 | 31 | * [Rank 1 solution code](https://github.com/lucaseustaquio/ams-2013-2014-solar-energy) and [description](http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach/33783#post33783) by Leustagos team. 32 | * [Rank 2 solution code](https://github.com/blazorth/AMS-2013-2014-Solar-Energy-Prediction-Contest) and [description](http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach/33802#post33802) by Toulouse. 33 | * [Rank 3 solution code](https://github.com/owenzhang/kaggle_AMS_2013_14_solar) and [description](http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach/33785#post33785) by Owen Zhang. 34 | * [Rank 4 solution escription](http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach/34790#post34790) by Peter Prettenhofer. 35 | * [Rank 5 solution description](http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach/34820#post34820) by Domcastro. 36 | * [Rank 58 solution code](https://github.com/davit-gh/Solar-Energy-Prediction-Contest) and [description](http://162.243.70.40/welcome-to-ghost/) by Davit. 37 | * [Solution thread here](http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/6321/our-approach). 38 | * [Ridge Regression starter code](http://www.kaggle.com/files/8744/starter_code.py) with MAE about 2.2M by Alec Radford, original thread [here](http://www.kaggle.com/c/ams-2014-solar-energy-prediction-contest/forums/t/5282/beating-the-benchmark-in-python-2230k-mae/28098#post28098). 39 | * [Improved starter code](https://github.com/zygmuntz/kaggle-solar) by Foxtrot. 40 | * [Baseline code](https://github.com/djgagne/solar_energy_prediction_contest) with MAE about 2.6M using Catmull-Rom Spline interpolation, also available in R [here](https://gist.github.com/dickoa/6078487) and [here](https://github.com/jlburkhead/solar/tree/master/R). 41 | 42 | ## [Belkin Energy Disaggregation Competition](http://www.kaggle.com/c/belkin-energy-disaggregation-competition) 43 | 44 | * [Solution thread](http://www.kaggle.com/c/belkin-energy-disaggregation-competition/forums/t/6168/congrats-jessica). 45 | 46 | ## [Challenges in Representation Learning: Facial Expression Recognition Challenge](http://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/) 47 | 48 | * [Rank 1 solution code](http://code.google.com/p/deep-learning-faces/) and [description](http://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/forums/t/4676/thanks/25019#post25019) by Charlie Tang. 49 | * [Rank 3 solution description](http://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/forums/t/4676/thanks/25022#post25022) by Maxim Milakov. 50 | * [Solution thread](http://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/forums/t/4676/thanks). 51 | 52 | ## [Challenges in Representation Learning: The Black Box Learning Challenge](http://www.kaggle.com/c/challenges-in-representation-learning-the-black-box-learning-challenge/) 53 | 54 | * [Rank 1 solution description](http://www.kaggle.com/c/challenges-in-representation-learning-the-black-box-learning-challenge/forums/t/4717/1st-place-entry) by David Thaler. 55 | * [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) by sayit. 56 | 57 | ## [Challenges in Representation Learning: Multi-modal Learning](http://www.kaggle.com/c/challenges-in-representation-learning-multi-modal-learning/) 58 | 59 | * [Rank 1 solution](https://github.com/FangxiangFeng/deepnet/tree/master/deepnet/examples/multimodal_icml2013) by MMDL. 60 | * [Solution thread](http://www.kaggle.com/c/challenges-in-representation-learning-multi-modal-learning/forums/t/4677/no-one-say-how-to-do-it/25023#post25023). 61 | 62 | ## [Detecting Insults in Social Commentary](http://www.kaggle.com/c/detecting-insults-in-social-commentary) 63 | 64 | * [Rank 1 solution description](http://www.kaggle.com/c/detecting-insults-in-social-commentary/forums/t/2744/what-did-you-use/14755#post14755) and [code](http://www.kaggle.com/c/detecting-insults-in-social-commentary/forums/t/2744/what-did-you-use/15951#post15951) by Vivek Sharma. 65 | * [Rank 2 solution](https://github.com/tuzzeg/detect_insults) by tuzzeg. 66 | * [Rank 3 solution description](http://webmining.olariu.org/my-first-kaggle-competition-and-how-i-ranked/) Andrei Olariu. 67 | * [Rank 4 solution](https://github.com/cbrew/Insults) by Chris Brew. 68 | * [Rank 5 solution description](http://www.kaggle.com/c/detecting-insults-in-social-commentary/forums/t/2744/what-did-you-use/15060#post15060) by Yasser Tabandeh. 69 | * [Rank 6 solution](http://peekaboo-vision.blogspot.com/2012/09/recap-of-my-first-kaggle-competition.html) by Andreas Mueller, code available [here](https://github.com/amueller/kaggle_insults/). 70 | * [Rank 8 solution description](http://steve-p0ulson.blogspot.co.uk/2012/09/recently-i-entered-kaggle-detecting.html) by Steve Poulson. 71 | * [Solution thread](http://www.kaggle.com/c/detecting-insults-in-social-commentary/forums/t/2744/what-did-you-use). 72 | 73 | ## [EMI Music Data Science Hackathon](http://www.kaggle.com/c/MusicHackathon/) 74 | 75 | * [Rank 4 solution description](http://www.kaggle.com/c/MusicHackathon/forums/t/2242/code-approach-sharing/12821#post12821) by Steffen Rindle. 76 | * [Rank 18 solution code and description](http://www.kaggle.com/c/MusicHackathon/forums/t/2242/code-approach-sharing/12619#post12619) by Vlad Gusev. 77 | * [Rank 34 solution code](https://github.com/zenogantner/MyMediaLite) and [description](http://www.kaggle.com/c/MusicHackathon/forums/t/2242/code-approach-sharing/12622#post12622) by zenog. 78 | * [Solution thread](http://www.kaggle.com/c/MusicHackathon/forums/t/2242/code-approach-sharing). 79 | 80 | ## [Galaxy Zoo – The Galaxy Challenge](http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/) 81 | 82 | * [Rank 1 solution code](https://github.com/benanne/kaggle-galaxies) and [description](http://benanne.github.io/2014/04/05/galaxy-zoo.html) by Sander Dieleman. 83 | * [Rank 2 solution code](https://github.com/milakov/nnForge/tree/master/examples/galaxy_zoo) and [description](http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41505#post41505) by Maxim Milakov. 84 | * [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) by tund. 85 | * [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) by Julian de Wit. 86 | * [Rank 9 solution code](https://github.com/soumith/galaxyzoo) and [description](http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41523#post41523) by Soumith Chintala. 87 | * [Rank 13 solution code](https://github.com/zhangxiangxiao/GalaxyZoo) and [description](http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41547#post41547) by Xiaoxiang Zhang. 88 | * [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) by utdiscant. 89 | * [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) by sugi. 90 | * [Rank 57 solution code and description](http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches/41605#post41605) by hxu. 91 | * [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) by yr. 92 | * [Solution thread](http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/7599/so-what-were-your-approaches). 93 | 94 | ## [Global Energy Forecasting Competition 2012 – Wind Forecasting](http://www.kaggle.com/c/GEF2012-wind-forecasting/) 95 | 96 | * [Rank 1 solution](https://github.com/lucaseustaquio/gefcom-2012-wind-track) by Leustagos. 97 | * Solution thread [here](http://www.kaggle.com/c/GEF2012-wind-forecasting/forums/t/3033/methods-used-and-preconditioning-of-data). 98 | 99 | ## [KDD Cup 2013 – Author-Paper Identification Challenge (Track 1)](https://www.kaggle.com/c/kdd-cup-2013-author-paper-identification-challenge) 100 | 101 | * [Rank 1 solution with code and description](http://www.kaggle.com/c/kdd-cup-2013-author-paper-identification-challenge/forums/t/5369/team-algorithm-s-papers-and-slides) by Team Algorithm, Github link to code [here](https://github.com/kdd-cup-2013-ntu/track1). 102 | 103 | ## [KDD Cup 2013 – Author Disambiguation Challenge (Track 2)](http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation) 104 | 105 | * [Rank 1 solution with code and description](http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/forums/t/5368/team-algoithm-s-papers-and-slides) by Team Algorithm, Github link to code [here](https://github.com/kdd-cup-2013-ntu/track2). 106 | * [Rank 2 solution](http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/forums/t/5000/source-code-of-smalldata) by SmallData Team. 107 | * [Rank 3 solution](http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/forums/t/4997/my-source-code) by hustmonk. 108 | * [Rank 4 solution](http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/forums/t/5009/4th-place-code) by Ben S. 109 | * [Solution thread](http://www.kaggle.com/c/kdd-cup-2013-author-disambiguation/forums/t/4843/solutions). 110 | 111 | ## [Large Scale Hierarchical Text Classification](http://www.kaggle.com/c/lshtc) 112 | 113 | * [Rank 1 solution code and description](http://www.kaggle.com/c/lshtc/forums/t/7980/winning-solution-description/43550#post43550) by anttip. 114 | * [Rank 3 solution code](https://github.com/nagadomi/kaggle-lshtc) and [description](http://www.kaggle.com/c/lshtc/forums/t/7832/what-approach-did-you-take/42875#post42875) by nagadomi. 115 | * [Solution thread one](http://www.kaggle.com/c/lshtc/forums/t/7980/winning-solution-description). 116 | * [Solution thread two](http://www.kaggle.com/c/lshtc/forums/t/7832/what-approach-did-you-take). 117 | 118 | ## [Loan Default Prediction – Imperial College London](http://www.kaggle.com/c/loan-default-prediction/forums) 119 | 120 | * [Rank 2 solution](https://github.com/HelloWorldLjc/Loan_Default_Prediction) and [description](http://www.kaggle.com/c/loan-default-prediction/forums/t/7398/congratulation/40922#post40922) by HelloWorld. 121 | * [Rank 12 solution](https://github.com/dmcgarry/Default_Loan_Prediction) and [description](http://www.kaggle.com/c/loan-default-prediction/forums/t/7398/congratulation/40356#post40356) by David McGarry. 122 | * [Solution thread](http://www.kaggle.com/c/loan-default-prediction/forums/t/7398/congratulation). 123 | 124 | ## [Merck Molecular Activity Challenge](http://www.kaggle.com/c/MerckActivity/) 125 | 126 | * [Ideas sharing discussion thread](http://www.kaggle.com/c/MerckActivity/forums/t/2912/ideas-sharing). 127 | * [Preprocessing techniques discussion thread](http://www.kaggle.com/c/MerckActivity/forums/t/2900/what-do-you-use-to-preprocess-the-data). 128 | 129 | ## [MLSP 2013 Bird Classification Challenge](http://www.kaggle.com/c/mlsp-2013-birds) 130 | 131 | * [Rank 1 solution code](https://github.com/gaborfodor/MLSP_2013) and [description](http://www.kaggle.com/c/mlsp-2013-birds/forums/t/5457/congratulations-to-the-winners/29159#post29159) by beluga. 132 | * [Rank 2 solution code](https://203.126.100.115/kaggle_submission_PS.rar) and [description](http://www.kaggle.com/c/mlsp-2013-birds/forums/t/5457/congratulations-to-the-winners/29017#post29017) by Herbal Candy (W and thomeou). 133 | * [Rank 3 solution description](http://www.kaggle.com/c/mlsp-2013-birds/forums/t/5457/congratulations-to-the-winners/29101#post29101) by Anil Thomas. 134 | * [Rank 4 solution description](http://www.kaggle.com/c/mlsp-2013-birds/forums/t/5457/congratulations-to-the-winners/29092#post29092) by Maxim Milakov. 135 | * [Solution thread](http://www.kaggle.com/c/mlsp-2013-birds/forums/t/5457/congratulations-to-the-winners). 136 | 137 | ## [Observing the Dark World](http://www.kaggle.com/c/DarkWorlds) 138 | 139 | * [Rank 2 solution](http://homepages.inf.ed.ac.uk/imurray2/pub/12kaggle_dark/) by Iain Murray, code available [here](http://homepages.inf.ed.ac.uk/imurray2/pub/12kaggle_dark/dw_murray_code-1.0.tar.gz). 140 | 141 | ## [PAKDD 2014 – ASUS Malfunctional Components Prediction](http://www.kaggle.com/c/pakdd-cup-2014/) 142 | 143 | * [Yet another solution thread](http://www.kaggle.com/c/pakdd-cup-2014/forums/t/7573/what-did-you-do-to-get-to-the-top-of-the-board). 144 | * [Solution thread](http://www.kaggle.com/c/pakdd-cup-2014/forums/t/7574/shall-we-start-discussing-the-ideas). 145 | 146 | ## [Personalize Expedia Hotel Searches – ICDM 2013](http://www.kaggle.com/c/expedia-personalized-sort/) 147 | 148 | * [Presentation paper/slides](http://www.kaggle.com/c/expedia-personalized-sort/forums/t/6203/winning-algorithm) for ICDM 2013. 149 | * [Solution thread](http://www.kaggle.com/c/expedia-personalized-sort/forums/t/6203/winning-algorithm). 150 | 151 | ## [Predicting a Biological Response](http://www.kaggle.com/c/bioresponse/) 152 | 153 | * [Rank 6 solution](https://www.kaggle.com/files/2676/DS06_nnet_Bagstack%20-%20Share.R) by Shea Parkes & Neil Schneider team. 154 | * [Rank 17 solution of Ensemble of RandomForests, GradientBoostingTrees and ExtraTreesRegressor ](https://github.com/emanuele)by Emanuele Olivetti. 155 | * [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) by Shea Parkes & Neil Schneider team. 156 | * [The code of my best submission](https://www.kaggle.com/c/bioresponse/forums/t/2045/the-code-of-my-best-submission) thread. Talks about Multi-core training Oblique Random Forests, and Stacking. 157 | * [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) thread. Talks about applying ensembles in practice, and how can problems arise and how to deal with them. 158 | 159 | ## [Predicting Closed Questions on Stack Overflow](https://www.kaggle.com/c/predict-closed-questions-on-stack-overflow) 160 | 161 | * [Rank 10 solution](https://github.com/saffsd/kaggle-stackoverflow2012) by Marco Lui. 162 | * [Rank 33 solution](http://fastml.com/predicting-closed-questions-on-stack-overflow/) by Foxtrot. 163 | 164 | ## [See Click Predict Fix](https://www.kaggle.com/c/see-click-predict-fix/) 165 | 166 | * [Solution thread](https://www.kaggle.com/c/see-click-predict-fix/forums/t/6464/congratulations-to-the-winners). 167 | 168 | ## [See Click Predict Fix – Hackathon](https://www.kaggle.com/c/the-seeclickfix-311-challenge/) 169 | 170 | * [Solution thread](https://www.kaggle.com/c/the-seeclickfix-311-challenge/forums/t/5911/congrats-to-the-winners-vecorization). 171 | 172 | ## [StumbleUpon Evergreen Classification Challenge](http://www.kaggle.com/c/stumbleupon/) 173 | 174 | * [Benchmark beater 1](http://www.kaggle.com/c/stumbleupon/forums/t/5680/beating-the-benchmark-leaderboard-auc-0-878/30315#post30315). 175 | * [Benchmark beater 2](http://www.kaggle.com/c/stumbleupon/forums/t/5489/another-approach-to-beating-the-benchmark-auc-0-82881/29205#post29205). 176 | * [Benchmark beater 3](http://www.kaggle.com/c/stumbleupon/forums/t/5450/beating-the-benchmark-and-getting-auc-0-75109). 177 | * [Solution thread](http://www.kaggle.com/c/stumbleupon/forums/t/6184/what-did-you-use). 178 | * [My own solution](https://github.com/log0/stumbleupon_evergreen_classification_challenge), which is a good example of what is overfitting. (Public rank: 57, Private rank: 291) 179 | 180 | ## [The Analytics Edge (15.071x)](The%20Analytics Edge (15.071x)) 181 | 182 | * [Rank 17 solution code](https://github.com/zygmuntz/kaggle-happiness) and [description](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) by Foxtrot. 183 | * [Solution thread](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). 184 | 185 | ## [The Marinexplore and Cornell University Whale Detection Challenge](http://www.kaggle.com/c/whale-detection-challenge/) 186 | 187 | * [Rank 1 solution](https://github.com/nmkridler/moby) by Nick Kridler. 188 | * [Rank 7 solution](https://github.com/glouppe/kaggle-marinexplore) by Gilles Louppe and Peter Prettenhofer team. 189 | * [Rank 8 solution](https://github.com/benanne/kaggle-whales) by Sander Dieleman. 190 | * [Rank 56 solution](https://github.com/sjuvekar/Kaggle-MarineExplorer) by Sudeep Juvekar. 191 | * [Solution discussion thread](https://www.kaggle.com/c/whale-detection-challenge/forums/t/4254/congratulations/22678). 192 | * [Mean spectogram thread](http://www.kaggle.com/c/whale-detection-challenge/forums/t/3887/mean-spectrogram). 193 | * [Official interview](http://blog.kaggle.com/2013/05/06/summary-of-the-whale-detection-competition/) from the Marinexplorer and Cornell at Kaggle. 194 | 195 | ## [Walmart Recruiting – Store Sales Forecasting](http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/) 196 | 197 | * [Rank 1 solution code](https://bitbucket.org/dthal/kaggle_walmart) and [description](http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43915#post43915) by David Thaler. 198 | * [Rank 2 solution description](http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43811#post43811) by sriok. 199 | * [Rank 3 solution code](http://ideone.com/pUw773) and [description](http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43821#post43821) by James King. 200 | * [Rank 5 solution description](http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43960#post43960) by ACS69. 201 | * [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) by T. Henry. 202 | * [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) by BreakfastPirate. 203 | * [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) by Neil Summers. 204 | * [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) by Gilberto Titericz Junior. 205 | * [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) by citynight. 206 | * [Rank 16 solution code](https://github.com/ChenglongChen/Kaggle_Walmart-Recruiting-Store-Sales-Forecasting) and [description](http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43856#post43856) by yr. 207 | * [Rank 29 solution code](https://github.com/mikeskim/Walmart/blob/master/makeSubmission.R) and [description](http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model/43831#post43831) by Mike Kim. 208 | * [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) by dkay. 209 | * [Solution thread](http://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting/forums/t/8023/thank-you-and-2-rank-model). 210 | 211 | Thank you [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) for providing some of the links and solutions above. 212 | --------------------------------------------------------------------------------