An introduction to our forecasting package, #modeltime. Modeltime extends the tidymodels ecosystem for time series forecasting. Learn how to forecast with #ARIMA, #prophet, and linear regression #timeseries models.
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TABLE OF CONTENTS
00:00 Introduction to Modeltime
00:30 GitHub Project Setup
01:03 Libraries: Modeltime & Tidymodels
01:48 Data: DC Bike Sharing Daily
02:59 Train/Test Split
03:39 Forecasting (is Exciting!)
03:49 ARIMA (Automatic)
04:40 Prophet
05:24 GLMNET (Machine Learning)
06:32 Modeltime Workflow
06:46 Modeltime Table & Modeltime Calibrate
07:32 Modeltime Accuracy
08:12 Modeltime Forecast (Visualize Test Set)
09:00 Modeltime Refit & Forecast (Visualize Future Forecast)
09:42 How to Learn More!
