Saijo George

Curated by Saijo George

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tuesday19 Jan 2021

ForecastGA an Open-Source Python Tool to Forecast GA Data Using Several Popular Time Series Models

https://github.com

ForecastGA is an open-source tool that uses Google Analytics data to forecast using 12 popular forecasting models.

Models Available

  • ARIMA : Automated ARIMA Modelling
  • Prophet : Modeling Multiple Seasonality With Linear or Non-linear Growth
  • ProphetBC : Prophet Model with Box-Cox transform of the data
  • HWAAS : Exponential Smoothing With Additive Trend and Additive Seasonality
  • HWAMS : Exponential Smoothing with Additive Trend and Multiplicative Seasonality
  • NBEATS : Neural basis expansion analysis (now fixed at 20 Epochs)
  • Gluonts : RNN-based Model (now fixed at 20 Epochs)
  • TATS : Seasonal and Trend no Box Cox
  • TBAT : Trend and Box Cox
  • TBATS1 : Trend, Seasonal (one), and Box Cox
  • TBATP1 : TBATS1 but Seasonal Inference is Hardcoded by Periodicity
  • TBATS2 : TBATS1 With Two Seasonal Periods
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