Forecasting with tidymodels
made easy! This short
tutorial shows how you can use:
arima_reg()
,
arima_boost()
, exp_smoothing()
,
prophet_reg()
, prophet_boost()
, and morelinear_reg()
,
mars()
, svm_rbf()
, rand_forest()
,
boost_tree()
and more…to perform classical time series analysis and machine learning
in one framework! See “Model
List” for the full list of modeltime
models.
For those that prefer video tutorials, we have an 11-minute YouTube Video that walks you through the Modeltime Workflow.
(Click to Watch on YouTube)
Here’s the general process and where the functions fit.