XGBoost ( Extreme Gradient Boosting) is an optimized distributed gradient boosting library.
In this article, you'll learn about core concepts of the XGBoost algorithm. So, if you are planning to compete on Kaggle, xgboost is one algorithm you need to master. In fact, since its inception (early 2014), it has become the "true love" of kaggle users to deal with structured data. Regardless of the data type (regression or classification), it is well known to provide better solutions than other ML algorithms.
XGBoost is the most popular machine learning algorithm these days. In this article, we'll learn about XGBoost algorithm. This brings us to Boosting Algorithms.ĭeveloped in 1989, the family of boosting algorithms has been improved over the years. Now, you might be wondering, what to do next for increasing a model's prediction accuracy ? After all, an ideal model is one which is good at both generalization and prediction accuracy. Now we know it helps us reduce a model's variance by building models on resampled data and thereby increases its generalization capability. Last week, we learned about Random Forest Algorithm.
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