Top Kagglers Interviews and Lectures
◾️ A list of inverviews of 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 Barušauskas, 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 Müller, Vladimir Iglovikov, Dmitry Larko, Marios Michailidis and Sudalai Rajkumar) on Feb 6, 2019
◾️ An interviews with grandmasters (Sudalai Rajkumar, Jean-Francois Puget, Dmitry Larko, Marios Michailidis, Branden Murray, Mathias Müller, Darragh Hanley and Mikel Bober-Irizar) on Nov 1, 2018
◾️ An interviews with grandmasters (Branden Murray, Vladimir Iglovikov, Gilberto Titericz and Dmitry Larko) on Mar 2, 2018
◾️ Presentation of Vladimir Iglovikov Carvana Image Masking Challenge on Jan 29, 2018
◾️ An interviews with grandmasters (Mathias Müller, 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 Müller 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 slide 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
◾️ Kaggle Workshop by Branden Murray and Mark Landry. They will go through this notebook on Nov 8, 2016
◾️ Deep Learning with MXNet by Dmitry Larko on Nov 8, 2016
◾️ Top 10 Machine Learning Pitfalls by Mark Landry on Nov 2, 2016
◾️ Gradient Boosting Method and Random Forest by Mark Landry on Dec 4, 2015
◾️ Kaggle techniques from Owen Zhang on Oct 9, 2015