In-depth Understanding of XGBoost Introduction in Machine Learning

Author(s): Amit Chauhan

Originally published on Towards AI.

Algorithm to improve the speed and performance
Photo by Alex Chumak on Unsplash

What is machine learning?

It is a technique to learn patterns from the data and make predictions. The machine learning algorithms implementation is data-based. As with time, we see the evolution of algorithms and some algorithms like SVM, Random Forest, or Gradient Boosting gives better result mostly on every type of data.

However, these algorithms still have some disadvantages in terms of over-fit, and scalability that directly impact the speed and performance of the models. To overcome these issues, researchers introduced the XGBoost library on top of the gradient boosting algorithm to improve the speed and performance.

Why… Read the full blog for free on Medium.

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Published via Towards AI