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How to Detect Anomalous Behavior in Time-series

Business and Technology Insights

How to Detect Anomalous Behavior in Time-Series

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Swayanta Bhaumik Go to all blogs
Swayanta Bhaumik

Swayanta Bhaumik is a developer with 3 years of experience in the Innovation and Product Engineering (IPE) - Analytics group in TCS Platform Solutions. He has a good experience of working on Python, Data Science and Machine Learning. He has been contributing to the development and implementation of predictive analytics and embedded analytics use cases. He holds a bachelor’s degree in Electrical Engineering from Maulana Abul Kalam Azad University of Technology (Formerly known as West Bengal University of Technology).



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