Ensemble learning is a powerful technique in machine learning that combines the predictions of multiple models to improve the overall performance of a system. One popular ensemble method is called bagging, which stands for Bootstrap Aggregating. Bagging is a technique that generates multiple subsets of the data, and then trains a model on each …