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skills/anomaly-detection-system/references/README.md

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+# References
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+Bundled resources for anomaly-detection-system skill
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+- [ ] 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.