time_series_anomaly_detection by benchflow-ai

time_series_anomaly_detection

benchflow-ai

9392423 months ago

Detect anomalies in time series data using Prophet Framework (Meta), which frames the seasonality, trend holiday effect and other needed regressors into its model, to identify unusual surges or slumps in trends. This is a general methodology analyst can use for understanding what changes of their tracking metrics are manifesting anomalies pattern.

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Quick Install
npxskills add benchflow-ai/skillsbench--skill time_series_anomaly_detection
Instructions

No instructions available