About Jan Lasek

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Training XGBoost with R and Neptune

March 27, 2017 in Machine learning, Neptune /by Jan Lasek

We present the training of an XGBoost model and evaluation of the results in an example analysis of bank customer data, using R with Neptune.

R Notebook and Custom R Operations in the new Seahorse release

September 23, 2016 in Seahorse /by Jan Lasek

Presenting new features in Seahorse, Release 1.3 – custom operations in R and enhanced data exploration capabilities in an R Notebook.

Euro 2016 Predictions Using Team Rating Systems

June 10, 2016 in Data science, Machine learning /by Jan Lasek

The 2016 UEFA European Championship is about to kick-off in a few hours in France with 24 national teams looking to claim the title. In this post, we’ll explain how to utilize various football team rating systems in order to make Euro 2016 predictions.

Machine Learning for Greater Fire Scene Safety

October 22, 2015 in Data science, Machine learning /by Jan Lasek

The lives of brave firemen are threatened during dangerous emergency missions while they try to save other people and their property. In this post I would like to share my experiences and winning strategy for the AAIA’15 Data Mining Competition: Tagging Firefighter Activities at a Fire Scene, in which I took first place.