How to handle large gaps in missing data in time series forecasting (e.g., only 1-2 months of data in a year)?
I’m working with a time series dataset that tracks monthly expenses for several years. However, I have a major issue with missing values: in some years, I only have data for 1-2 months, while the rest of the months are completely missing.