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Time Series Anomaly Detection with PyFBAD
Jan. 14, 2022, 1:40 p.m. | Oğuzhan Yediel
Towards Data Science - Medium towardsdatascience.com
An End-to-End Unsupervised Outlier Detection
Taken from UnsplashThe typical flow of a machine learning project starts with reading the data, followed by some preprocessing, training, testing, visualization, and sharing the results with the notification system. Of course, all the steps can be easily done with the help of various open-source libraries. However, in some task-specific cases, such as anomaly detection in time series data, reducing the number of library and hard-coded steps would be more beneficial for explainability. The …
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