Create synthetic time-series with anomaly signatures in Python

Posted 4 months ago
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Towards Data Science
Computers & Internet

A simple and intuitive way to create synthetic (artificial) time-series data with customized anomalies — particularly suited to industrial applications.

Synthetic time-series is no exception — it helps a data scientist to experiment with various algorithmic methods and to prepare for real-life deployment in ways that could not have been possible with only real datasets.

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