We are now familiar with the basic concept of ensemble learning and ensemble methods. Now, we will actually put these methods into use in building models using various machine learning algorithms and compare the results generated by them. To actually test all of these methods, we will need a sample dataset in order to implement these methods on the given dataset and see how this helps us with the performance of our models.