Feature Selection Using Boruta

Feature Selection is a crucial step in machine learning. In feature selection we select relevant features to our model. Features which give useful information about the data and improve the accuracy of the model is all a Data Scientist needs. Finding out the relevant features is the tough job in end to end projects. There are a lot of methods for feature selection.