What's New:

Time series notebook

• This notebook highlights a full ML workflow including the exploration of data to find patterns useful in model generation. Highlights issues with naive models and how improvements can be made with the addition of seasonal components and feature engineering.

Update:

Clustering notebook

• The clustering notebook has been changed to make use of the new fit/predict/update functionality of the toolkit and highlight their application.
• The notebook has been refactored to reduce any contained technical documentation and to highlight use-cases and dendrogram usage more clearly