Feature Engineering: Remove Redundant Features
Explore methods to detect and eliminate redundant features in datasets by analyzing pairwise correlations. Learn to use heatmaps for visualization and apply feature removal to optimize machine learning models predicting customer churn.
We'll cover the following...
We'll cover the following...
In this lesson, we start with the encoded Telco dataset, where we have 31 features and a target. Each of the 7,043 records describes a customer’s subscription details. Now we must identify and remove any features that are redundant by analyzing the relationships between them.
Pairwise correlation
A pairwise correlation matrix is a great way to identify ...