Boosting is a powerful technique in machine learning that aims to improve the predictive accuracy of models by combining multiple weak learners. It belongs to the family of ensemble methods, which leverage the strengths of multiple models to create a stronger, more accurate predictor. In this article, we will delve into the world of boosting and ex...Read More.