Top Marks for Student Kaggler in Bengali.AI | A Winner’s Interview with Linsho Kaku

Kaggler, deoxy takes first-place and sets the stage for his next competition.Please join us in congratulating Linsho Kaku (aka deoxy) on his solo first-place win in our Bengali.AI Handwritten Grapheme Classification challenge! Read the winning solution here: 1st Place Solution with CodeRandom Ink by Sankarshan Mukhopadhyay @FlickrLet’s meet Linsho!Linsho,...

Apr 2020

Yuanchen He on finishing third in the Melbourne University competition

I am Yuanchen He, a senior engineer in McAfee lab. I have been working on large data analysis and classification modeling for network security problems.MethodMany thanks to Kaggle for setting up this competition. And congratulations to the winners! I enjoyed it and learned a lot from working on this challenging data and reading the winners’ posts. I...

Apr 2020

Quan Sun on finishing in second place in Predict Grant Applications

I’m a PhD student of the Machine Learning Group in the University of Waikato, Hamilton, New Zealand. I’m also a part-time software developer for 11ants analytics. My PhD research focuses on meta-learning and the full model selection problem. In 2009 and 2010, I participated the UCSD/FICO data mining contests.What I tried and What ended up workingI tried...

Apr 2020

Jeremy Howard on winning the Predict Grant Applications Competition

Because I have recently started employment with Kaggle, I am not eligible to win any prizes. Which means the prize-winner for this comp is Quan Sun (team ‘student1’)! Congratulations!My approach to this competition was to first analyze the data in Excel pivottables. I looked for groups which had high or low application success rates. In this way, I...

Apr 2020

Max Lin on finishing second in the R Challenge

I participated in the R package recommendation engine competition on Kaggle for two reasons. First, I use R a lot. I cannot learn statistics without R. This competition is my chance to give back to the community a R package recommendation engine. Second, during my day job as an engineer behind a machine learning service in the cloud, product recommendation...

Apr 2020

Marcin Pionnier on finishing 5th in the RTA competition

I graduated on Warsaw University of Technology with master thesis about text mining topic (intelligent web crawling methods). I work for Polish IT consulting company (Sollers Consulting), where I develop and design various insurance industry related stuff, (one of them is insurance fraud detection platform). From time to time I try to compete in data...

Apr 2020

Dave Slate on Winning the R Challenge

I (David Slate) am a computer scientist with over 48 years of programming experience and more than 25 years doing machine learning and predictive analytics. Now that I am retired from full-time employment, I have endeavored to keep my skills sharp by participating in machine learning and data mining contests, usually with Peter Frey as team “Old Dogs...

Apr 2020

How I did it: Yannis Sismanis on Winning the first Elo Chess Ratings Competition

The attached article discusses in detail the rating system that won the Kaggle competition “Chess Ratings: Elo vs the rest of the world”. The competition provided a historical dataset of outcomes for chess games, and aimed to discover whether novel approaches can predict the outcomes of future games, more accurately than the well-known Elo rating system....

Apr 2020

How I did it: Ming-Hen Tsai on finishing third in the R competition

I recently got my Bachelor degree from National Taiwan University (NTU). In NTU, I worked with Prof. Chih-Jen Lin’s on large-scale optimization and meta-learning algorithms. Due to my background, I believe that good optimization techniques to solve convex model fast is an important key to achieve high accuracy in many application because we can don’t...

Apr 2020

Phil Brierley on winning tourism forecasting part two

I was Team “Sali Mali” which won the seasonal part of the online tourism forecasting competition. The aim was to produce the smallest MASE for the 427 quarterly time series and 366 monthly timeseries. In this article, I briefly describe the methods used.Basic algorithmsNo new time series forecasting algorithms were developed specifically for this contest....

Apr 2020