Boost Up With XGboost

There are lots of articles out there talking about XGBoost and using it for models. And why shouldn't there be? It is a really powerful tool that has been proven to obtain great results in a wide variety of environments, favoring heterogeneous data. It has implementations in several languages, but in this article we are going to follow the trend of the previous ones and see the Python 3 implementation. The fancy name of the library comes from the algorithm used in it to train the model, but how does it work? Let's go backwards seeing what each word means.