GitHub topics: ar-net
a-memme/snap_dynamic_scheduling
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.
Language: Python - Size: 46.9 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
d4rthm4ul/Time-Series-Analysis-KATS-Covid-19-Azerbaijan
With the help of a brand new KATS package, we can detect outliers, change points, and build very strong Time Series Analysis models. By inspecting this repository you can get a solid vision of KATS on real Covid-19 data of Azerbaijan.
Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0
