References

Bundled resources for anomaly-detection-system skill

anomaly_detection_algorithms.md: Provides a comprehensive overview of different anomaly detection algorithms (e.g., Isolation Forest, One-Class SVM, Local Outlier Factor) and their use cases.
data_preprocessing_guide.md: Offers guidance on data cleaning, normalization, and feature engineering techniques to improve anomaly detection accuracy.
performance_metrics.md: Explains various performance metrics (e.g., precision, recall, F1-score) for evaluating anomaly detection models.
case_studies.md: Presents real-world case studies of anomaly detection applications in different industries.