The 5 Feature Selection Algorithms every Data Scientist should know

Data Science is the study of algorithms.

I grapple through with many algorithms on a day to day basis, so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series .

How many times it has happened when you create a lot of features and then you need to come up with ways to reduce the number of features.

We sometimes end up using correlation or tree-based methods to find out the important features.

Can we add some structure to it?

This post is about some of the most common feature selection techniques one can use while working with data.