Content
This challenge is about hyperparameter tuning (Lecture 9).
The purpose of this challenge is to test your ability to optimize sequential and non-sequential models for time series forecasting.
Requirements
You are required to produce a fully reproducible notebook report explaining all the steps that takes you towards the optimization of a sequential model and a non-sequential model.
You are free to apply the feature sets you created during challenge
1.
You are free to apply hyperparameter tuning on the desired time
series.
Data
Challenge dataset contains:
- daily website page views
- hourly website organic searches
- weekly website sales