Different methods of feature selection

In our previous post, we discussed what is feature selection and why we need feature selection. In this post, we're going to look at the different methods used in feature selection. There are three main classification of feature selection methods – Filter Methods, Wrapper Methods, and Embedded Methods. We'll look at all of them individually. Filter methods are learning-algorithm-agnostic, which means they can be employed no matter which learning algorithm you're using.