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Homesite Quote Conversion, Winners' Interview: 2nd Place, Team Frenchies |...
The Homesite Quote Conversion competition challenged Kagglers to predict the customers most likely to purchase a quote for home insurance based on an anonymized database of information on customer and...
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Yelp Restaurant Photo Classification, Winner's Interview: 2nd Place, Thuyen Ngo
The Yelp Restaurant Photo Classification competition challenged Kagglers to assign attribute labels to restaurants based on a collection of user-submitted photos. In this recruitment competition, 355...
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March Machine Learning Mania 2016, Winner's Interview: 1st Place, Miguel Alomar
The annual March Machine Learning Mania competition sponsored by SAP challenged Kagglers to predict the outcomes of every possible match-up in the 2016 men's NCAA basketball tournament. Nearly 600...
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BNP Paribas Cardif Claims Management, Winners' Interview: 1st Place, Team...
The BNP Paribas Claims Management competition ran on Kaggle from February to April 2016. Just under 3000 teams made up of over 3000 Kagglers competed to predict insurance claims categories based on...
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Home Depot Product Search Relevance, Winners' Interview: 1st Place | Alex,...
A total of 2,552 players on over 2,000 teams participated in the Home Depot Product Search Relevance competition which ran on Kaggle from January to April 2016. Kagglers were challenged to predict the...
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Home Depot Product Search Relevance, Winners' Interview: 3rd Place, Team...
The Home Depot Product Search Relevance competition which ran on Kaggle from January to April 2016 challenged Kagglers to use real customer search queries to predict the relevance of product results....
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Home Depot Product Search Relevance, Winners' Interview: 2nd Place | Thomas,...
The Home Depot Product Search Relevance competition challenged Kagglers to predict the relevance of product search results. Over 2000 teams with 2553 players flexed their natural language processing...
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Avito Duplicate Ads Detection, Winners' Interview: 3rd Place, Team ADAD |...
The Avito Duplicate Ads Detection competition ran on Kaggle from May to July 2016 and attracted 548 teams with 626 players. In this challenge, Kagglers sifted through classified ads to identify which...
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Facebook V: Predicting Check Ins, Winner's Interview: 2nd Place, Markus Kliegl
Facebook ran its fifth recruitment competition on Kaggle, Predicting Check Ins, from May to July 2016. This uniquely designed competition invited Kagglers to enter an artificial world made up of over...
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Facebook V: Predicting Check Ins, Winner's Interview: 1st Place, Tom Van de...
From May to July 2016, over one thousand Kagglers competed in Facebook's fifth recruitment competition: Predicting Check-Ins. In this challenge, Kagglers were required to predict the most probable...
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Facebook V: Predicting Check Ins, Winner's Interview: 3rd Place, Ryuji Sakata
The Facebook recruitment challenge, Predicting Check Ins, ran from May to July 2016 attracting over 1,000 competitors who made more than 15,000 submissions. Kagglers competed to predict a ranked list...
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Avito Duplicate Ads Detection, Winners' Interview: 1st Place Team, Devil Team...
The Avito Duplicate Ads Detection competition ran from May to July 2016. This competition, a feature engineer's dream, challenged Kagglers to accurately detect duplicitous duplicate ads which included...
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Avito Duplicate Ads Detection, Winners' Interview: 2nd Place, Team TheQuants...
The Avito Duplicate Ads competition ran on Kaggle from May to July 2016. Over 600 competitors worked to feature engineer their way to the top of the leaderboard by identifying duplicate ads based on...
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Draper Satellite Image Chronology: Pure ML Solution | Damien Soukhavong
The Draper Satellite Image Chronology Competition (Chronos) ran on Kaggle from April to June 2016. This competition, which was novel in a number of ways, challenged Kagglers to put order to time and...
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Draper Satellite Image Chronology: Pure ML Solution | Vicens Gaitan
Can you put order to space and time? This was the challenge posed to competitors of the Draper Satellite Image Chronology Competition (Chronos) which ran on Kaggle from April to June 2016. Over...
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Grupo Bimbo Inventory Demand, Winners' Interview: Clustifier & Alex & Andrey
The Grupo Bimbo Inventory Demand competition ran on Kaggle from June through August 2016. Over 2000 players on nearly as many teams competed to accurately forecast sales of Grupo Bimbo's delicious...
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TalkingData Mobile User Demographics Competition, Winners' Interview: 3rd...
The TalkingData Mobile User Demographics competition ran on Kaggle from July to September 2016. Nearly two-thousand players formed 1689 teams who competed to predict the gender of mobile users based on...
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Red Hat Business Value Competition, 1st Place Winner's Interview: Darius...
The Red Hat Predicting Business Value competition ran on Kaggle from August to September 2016. Well over two-thousand players competed on 2271 teams to accurately identify potential customers with the...
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Painter by Numbers Competition, 1st Place Winner's Interview: Nejc Ilenič
Does every painter leave a fingerprint? Accurately distinguishing the artwork of a master from a forgery can mean a difference in millions of dollars. In the Painter by Numbers playground competition...
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Integer Sequence Learning Competition: Solution Write-up, Team 1.618 | Gareth...
The Integer Sequence Learning playground competition, which ran on Kaggle from June to October 2016, was a unique challenge to its 300+ participants. Given sequences of integers sourced from the Online...
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