Removing Correlated Features | Feature Selection for Machine Learning

In this video, we explore two approaches to remove features that are correlated to one another. First, we discuss a brute force approach that removes correlated features based on their order in the dataset. Then, we introduce a method that identifies groups of correlated features and selects the best one from each group based on user-defined criteria. Want to learn more? Check out our course: https://www.trainindata.com/p/feature-selection-for-machine-learning