Multiple Time Series Forecasting With Holt-Winters In Python
In today’s article, we’re going to explore the ins and outs of training a Holt-Winters model for forecasting multiple time series in Python. Holt-Winters is a very popular forecasting algorithm that can capture seasonality and trends in time series data through exponential smoothing. I’ll use StatsForecast, a scalable and easy-to-use Python library that can help you train a Holt-Winters model quickly and efficiently. You don’t need to be a programming wizard to get started with this library, and it can save you hours of coding time....