Kaggle Blog - Medium

Official Kaggle Blog ft. interviews from top data science competitors and more! - Medium

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I trained a model. What is next?

Here at Kaggle we’re excited to showcase the work of our Grandmasters. This post was written by Vladimir Iglovikov, and is filled with advice that he wishes someone had shared when he was active on Kaggle. The original post can be found on Vlad’s Ternaus Blog.IntroductionI participated in machine learning (ML) competitions at Kaggle and other platforms...

Recruit Ponpare is Japan’s leading joint coupon site, offering huge discounts on everything from…

Halla Yang finished 2nd ahead of 1,191 other data scientists. His experience working with time series data helped him use unsupervised…Continue reading on Kaggle Blog »

When his hobbies went on hiatus, this Kaggler made fighting COVID-19 with data his mission | A…

With sports (and everything else) cancelled, this data scientist decided to take on COVID-19 | A Winner’s Interview with David MezzettiWhen his hobbies went on hiatus, Kaggler David Mezzetti made fighting COVID-19 his mission.Photo by Clay Banks on UnsplashLet’s learn about David!https://www.kaggle.com/davidmezzettiDavid Mezzetti is the founder of NeuML,...

Gaining a sense of control over the COVID-19 pandemic | A Winner’s Interview with Daniel Wolffram

How one Kaggler took top marks across multiple Covid-related challenges.Photo by Markus Spiske on UnsplashToday we interview Daniel, whose notebooks earned him top marks in Kaggle’s CORD-19 challenges. Kaggle hosted multiple challenges that worked with the Kaggle CORD-19 dataset, and Daniel won 1st place three times, including by a huge margin in the...

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,...

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...

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...

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...

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...

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...

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