What is the role of PCA in feature engineering pipelines?

PCA is used to compress, denoise, and decorrelate features in preprocessing pipelines.

In feature engineering, PCA helps transform raw high-dimensional data into compact representations that preserve maximum variance. It is often used before clustering, regression, or classification to reduce noise and redundancy.