Repo for independent study on forecasting following Hyndman & Athanasopoulos
fable package: https://github.com/tidyverts/fablefpp2 package: http://pkg.robjhyndman.com/fpp2-package/Typical statistics for scientists and engineers require an assumption that all data is independent and identically distributed (iid). This course introduces a comprehensive introduction to statistical methods for time-series data, where our data is very much not independent, but highly correlated. Topics that will be included involve time series regression models, time series decomposition, exponential smoothening, autoregressive integrated moving average models (ARIMA), and hierarchical models.