60. What is boosting in Data Science?
One of the ensemble learning strategies is boosting. It is not, unlike bagging, a technique for simultaneously training our models. In boosting, we construct a large number of models and train them sequentially by iteratively combining weak models so that the training of a new model is dependent on the training of prior models.
