How to Reframe Your Time Series Forecasting Problem

Last Updated on August 28, 2019

You do not have to model your time series forecast problem as-is.

There are many ways to reframe your forecast problem that can both simplify the prediction problem and potentially expose more or different information to be modeled. A reframing can ultimately result in better and/or more robust forecasts.

In this tutorial, you will discover how to reframe your time series forecast problem with Python.

After completing this tutorial, you will know:

• How to reframe your time series forecast problem as an alternate regression problem.
• How to reframe your time series forecast problem as a classification prediction problem.
• How to reframe your time series forecast problem with an alternate time horizon.

Kick-start your project with my new book Time Series Forecasting With Python, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

• Updated Apr/2019: Updated the link to dataset.
• Updated Aug/2019: Updated data loading to use new API.