This study compares popular Machine Learning (ML), Deep Learning (DP), and statistical algorithms for forecasting microservice time series.
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Updated
May 18, 2023 - Python
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
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.
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