AdaBoost is an ensemble learning method which was initially created to increase the efficiency of binary classifiers.
AdaBoost uses an iterative approach to learn from the mistakes of weak classifiers, and turn them into strong ones.
I explained what AdaBoost is and how to build AdaBoost and how to tune the model in Python.