Top Kagglers Interviews and Lectures



◾️ 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