XGBoost stands for eXtreme Gradient Boosting. XGboost is the most widely used algorithm in machine learning, whether the problem is a classification or a regression problem.Boosting is nothing but ensemble techniques where previous model errors are resolved in the new models. These models are added straight until no other improvement is seen. Gradient boosting is a method where the new models are created that computes the error in the previous model and then leftover is added to make the final prediction.
There are four section in this course:
- Introduction to XGBoost for Applied Machine Learning
- XGBoost Regression Algorithm
- XGBoost Binary Classification
- XGBoost Multi-Class Classification