Boosting helps to improve the accuracy of any given machine learning algorithm. It is algorithm independent so we can apply it with any learning algorithms. It is not used to reduce the model variance.
Boosting involves many sequential
iterations to strengthen the model accuracy, hence it becomes computationally costly.
