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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.
data datascience time-series-analysis kats arima sarima theta lstm var ar-net prophet holt-winters linear quadratic change-point-detection covid-19 azerbaijan ensemble-models
Language:Jupyter Notebook 4
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.
ar-net auto-arima bigquery change-detection neural-prophet pelt snapchat streamlit
Language:Python 1

d4rthm4ul / Time-Series-Analysis-KATS-Covid-19-Azerbaijan