A list of interviews by Sanyam Bhutani with top Kagglers: Jeremy Howard, Chris Deotte, Parul Pandey, Sudalai Rajkumar, Tim Dettmers, Abhishek Thakur, Mikel Bober-Irizar, Guanshuo Xu, Rohan Rao, Gilberto Titericz, Philipp Singer, Christof Henkel, Dmitry Gordeev, Radek Osmulski, John Miller, Jean Francois Puget, Marios Michailidis, Eugene Khvedchenya, Arno Candel, Olivier Grellier, Shivam Bansal, Ahmet Erdem, Rachael Tatman, Andres Torrubia, Dan Becker, Laura Fink, Mark Landry, Dmitry Larko, Dmitry Danevskiy, Darius Barusauskas, Yauhen Babakhin, Vladimir Iglovikov, Rob Mulla, Dmytro Mishkin, Yifan Xie, Kun Hao Yeh, Shivam Bansal, Habib Bukhari, Igor Zubarev, Ryan Chesler, Shaikat Galib, Maximilian Jeblick, Yury Kashnitsky, Andrew Lukyanenko
What it takes to become a Quadruple Kaggle Grandmaster? (Bojan Tunguz, Rohan Rao, Chris Deotte and Abhishek Thakur) on Jun 25, 2021
My journey to Kaggle #1 with Philipp Singer (Philipp Singer) on Mar 24, 2021
The Journey to Becoming the #1 Kaggle Grandmaster (Guanshuo Xu, Marios Michailidis and Olivier Grellier) on Aug 18, 2020
Meet the Kaggle Grandmasters - H2OWorld 2019 NYC (Sudalai Rajkumar, Kim Montgomery, Branden Murray, Mark Landry, Yauhen Babakhin, Arno Candel, Olivier Grellier, Shivam Bansal, Rohan Rao, Dmitry Larko and Pavel Pleskov) on Oct 23, 2019
How to Become an Expert Data Scientist Panel (Bojan Tunguz, Mathias Muller, Vladimir Iglovikov, Dmitry Larko, Marios Michailidis and Sudalai Rajkumar) on Feb 6, 2019
An interview with grandmasters (Sudalai Rajkumar, Jean-Francois Puget, Dmitry Larko, Marios Michailidis, Branden Murray, Mathias Muller, Darragh Hanley and Mikel Bober-Irizar) on Nov 1, 2018
An interview with grandmasters (Branden Murray, Vladimir Iglovikov, Gilberto Titericz and Dmitry Larko) on Mar 2, 2018
Presentation of Vladimir Iglovikov for the Carvana Image Masking Challenge on Jan 29, 2018
An interview with grandmasters (Mathias Muller, Gilberto Titericz, Marios Michailidis, Dmitry Larko and Mark Landry) on Dec 12, 2017
Robust approach to machine learning models comparison by Dmitry Larko on Dec 11, 2017
HCC Target-Encoding by Mathias Muller on Dec 11, 2017
Ensembling by Marios Michailidis on Dec 11, 2017
- feature selection with permutation after stacking
- how to make diversity in models
Dmitry Larko slides about Feature Engineering on Dec 6, 2017
Presentation of Vladimir Iglovikov for Dstl Satellite Imagery Feature Detection on May 25, 2017
Presentation of Vladimir Iglovikov for Dstl Satellite Imagery Feature Detection on May 2, 2017
How to Win Machine Learning Competitions by Marios Michailidis on Mar 17, 2017
A talk by Dmitry Larko on Feb 10, 2017
Presentation of Vladimir Iglovikov for Allstate Claims Severity on Feb 10, 2017