Feature Selector Using LASSO

A technique for reducing the dimensionality of machine learning datasets is the Feature Selector. The selection process of the Feature Selector is based on a logically accurate measurement that determines the importance of each feature present in the data. In this article at OpenGenus, we explore the advantage of a Feature Selector built using the principles of LASSO over a conventional method.

Table of contents

IntroductionImplementationObservationsIntroduction

According to Wikipedia, The ...