Hello, welcome to my blog. Recently, I have been talking about two algorithms for classification namely logistic regression & decision trees. I also demonstrated how we can implement these algorithms using Python’s scikit-learn library.
Today, I want to talk about Ensemble classifiers. The fundamental idea behind ensemble classifiers is combining a set of classifiers to make one better classifier. Concretely, an ensemble classifier combines two or more classifiers (also called a weak learner or classifier) in order to make a stronger classifier (also called a strong learner or classifier).