What is Bagging in machine learning, and how does it help improve model performance? How does the bagging technique use multiple datasets and models to reduce variance? What is the role of bootstrap sampling in bagging? In which types of models or algorithms is bagging commonly applied? What are the advantages and limitations of using bagging in machine learning?