Time Series Forecasting is an exciting branch in statistics that can help us face the uncertainty of the future. In business, AI, sports, and more, you can apply classical models to forecast important features.
Python and its libraries are ideal to tackle any problem related to time series forecasting.
The Moving average model (Holt-Winters method), time series decomposition, and seasonal ARIMA model are explored in this repository.
Enjoy!