Intermittent Time Series Forecasting in Python
In this post, you will learn how to easily forecast intermittent time series data using the StatsForecast library in Python. Intermittent time series data is unique in the world of forecasting because it often includes missing data, irregular values, or a large number of zeros. They usually start appearing when you go down in the hierarchy levels of a time series. Traditional forecasting methods can struggle with these types of data, but after reading this post, you’ll have all the tools you need to tackle even the most complex intermittent time series....