Boosting Algorithms: Gradient Boosting Regression For Machine Learning Modeling 1

Gradient boosting regression is a powerful technique used in machine learning modeling. It is an iterative process that builds a model in a step-by-step fashion, each step improving the model’s accuracy. It is especially useful for complex datasets with non-linear relationships. Hyperparameter tuning is an important step in the process of training a gradient boosting model.