Anna Veronika Dorogush: Mastering gradient boosting with CatBoost | PyData London 2019

Gradient boosting is a powerful machine-learning technique that achieves state-of-the-art results in a variety of practical tasks. This tutorial will explain details of using gradient boosting on practice, we will solve a classification problem using popular GBDT library CatBoost. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with c