CatBoost is a high-performance open source library for gradient boosting on decision trees

CatBoost at ICML 2017

July 20, 2017

We will be happy to meet everyone at ICML in Sydney, Australia on August 6-11, 2017, where we will be showcasing CatBoost in the Yandex booth #16.

Our team will be there to showcase the usage and applications of our new gradient-boosting machine learning library. We’ll be happy to demonstrate training CatBoost on a variety of datasets, and go through the tricks CatBoost uses to work well on categorical features. You will learn how to access the CatBoost library from the command line, or via API for Python, sklearn, R or caret, and how to monitor training in iPython Notebook using our visualization tool CatBoost Viewer. We will also let you in on the secret of how to score well in a Kaggle contest!

We look forward to meeting you at our ICML stand in Sydney. Please drop by – we’ll even have some goodies to share!

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