In recent years, gradient boosting has emerged as one of the most popular techniques for machine learning, providing top-notch performance in both classification and regression tasks. Gradient boosting works by sequentially building an ensemble of weak learners, typically decision trees, where each new tree corrects the errors made by the previous ones. This iterative refinement…