Training XGBoost with R and Neptune
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.
Entries by Jan Lasek
R Notebook and Custom R Operations in the new Seahorse release
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
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
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.
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