Gradient Boosting in Machine Learning with Python
The Gradient Boosting algorithm is a machine learning technique that builds a predictive model by combining several weaker models (usually decision trees) together into a single strong structure. The main goal of Gradient Boosting is to progressively improve the weaknesses of weak models, allowing you to create a stronger and more adaptable model.