Simultaneous Forecasting of Multiple Time-Series

Data rarely appears in isolation.

Information from one source can tell us a lot about what to expect on information coming from another source and vice-versa.

This is particularly important in time-series forecasting where we often want to forecast multiple related data sources.

Because this is such a frequent problem in data science, I explored an example of multiple time-series forecasting a recent blog post, check it out!

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