This repository shows how various algorithms can be used for time series forecasting depending on whether data is :-
- data is a random walk,
- data is a Moving Average (MA) process,
- data is an Autoregressive (AR) process,
- data contains seasonality.
The SARIMAX function statsmodels package is used.