Feature Engineering, Machine Learning, Data Science, Data, Python.
are highly redundant (multicollinear, specifically), PCA will partition out the redundancy into one or more near-zero variance components, which you can then drop since they will contain little or no information. Anomaly detection: Unusual variation, which is inconsistent with the original