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system-scripts

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rifat328 / Anomaly-Detection-on-Streamed-Data

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This project uses the Z-score method to detect anomalies in real-time data streams. It features synthetic data generation, anomaly detection, and live visualization. With robust error handling, it's ideal for finance, cybersecurity, and system monitoring applications.

python data-science statistics stream algorithms numpy stream-processing matplotlib anomaly-detection z-score system-scripts
  • Updated Oct 19, 2024
  • Python

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