Anomaly Detection in Time Series with Python: Isolation Forest, LOF, and STL Decomposition
Build a complete anomaly detection toolkit for time series data in Python. Four hands-on methods — rolling Z-scores, STL decomposition, Isolation Forest, and LOF — with feature engineering, ensemble voting, and production-ready scikit-learn 1.8 code.