XGBoost: A Scalable Tree Boosting System

9 Mar 201618 code implementations

In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges.


Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning

7 Sep 2019no code implementations

The two primary goals of the portfolio management problem are maximizing profit and restrainting risk.

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