As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.
The purpose of this modeling exercise is to construct an end-to-end template for solving machine learning problems. This Python script will adapt Dr. Jason Brownlee’s blog post on this topic and build a robust template for solving similar problems.
Version 1 of the exponential smoothing template contains structures and features that are like the ARIMA template. I pull together this template to take a machine learning exercise from beginning to end.
You will find the Python templates on the Machine Learning Project Templates page.