Content
This challenge is about the use of Nixtla Python framework (Module 1, Lecture 1.3).
The purpose of this challenge is to apply the Nixtla workflow to one or more time series of the challenge.
Requirements
You are required to produce a fully reproducible notebook report explaining all the steps to forecast with Holt Winters, and Random Forest algorithms.
You are free to apply the feature sets you created during Challenge 1.
Data
Challenge dataset contains an hourly time series of the M4 competition.