Auto-ARIMA timeseries forecasting in combination with PELT changepoint detection to predict social media viewership performance and identify major changes in performance trends. Models are deployed into a streamlit webapp for analytical functionality.
This study compares popular Machine Learning (ML), Deep Learning (DP), and statistical algorithms for forecasting microservice time series.
Enhanced Automatic time series forecasting using ARIMA family models
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