/ANOMALYDETECTION

This project detects anomalies in time series data using the Isolation Forest model. It processes and analyzes uploaded data, highlights unusual patterns, and visualizes results through static and interactive graphs. Built with Python and Streamlit, it ensures efficient anomaly detection and reporting.

Primary LanguagePython

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