
univariate time series anomaly detection python
What is Univariate Time Series Anomaly Detection? Univariate time series anomaly detection refers to the process of detecting unexpected patterns and outliers within a single time series using Python. Univariate models detect anomalous occurrences that differ from data points, then identify them as outlier or non-standard values. Anomaly detection is useful in understanding data trends…