Achieved 78% accuracy by experimenting with Machine Learning algorithm to detect anomalies. Also developed a system in real-time(online fashion) using KAPACITOR-INFLUXDB-GRAFANA DASHBOARD -TICK Script. Detected anomalies in real time by using window technique and achieved 80% accuracy models using state-of-the-art ML/ DL model and visualized them in real-time.
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sunitha8687/Anomaly-Detection-Multivaraite-Time-Series-Dataset
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Develop a anomaly detection system using INFLUXDB - Python/ R to detect anomalies and events in both offline and online mode(Real-time)
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