9 lines
683 B
Markdown
9 lines
683 B
Markdown
# 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.
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- [ ] data_preprocessing_guide.md: Offers guidance on data cleaning, normalization, and feature engineering techniques to improve anomaly detection accuracy.
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- [ ] performance_metrics.md: Explains various performance metrics (e.g., precision, recall, F1-score) for evaluating anomaly detection models.
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- [ ] case_studies.md: Presents real-world case studies of anomaly detection applications in different industries.
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