Learn how to implement various feature selection methods in just a few lines of code to train faster, simpler, and more reliable machine learning models.
Using Python open-source libraries, you will learn how to identify the most predictive features from your data through filter, wrapper, embedded, and other feature selection methods.
You'll learn the advantages and limitations of each method, and be ready to choose the best one based on your data and the model you want to train.
Feature Selection in Machine Learning
