ByteHub Tutorials

Quick-start guide
Bitcoin price data demonstrates feature transforms.
ByteHub Cloud shows how to access ByteHub.ai's cloud-hosted feature store.
Cloud storage demonstrates how to store feature data using storage providers like AWS S3, Azure Blob, etc.
Data preparation shows how feature transforms can be used to organise and automate data prep tasks. We use electricity carbon intensity data as an example.
Timeseries forecasting demonstrates how a feature store can be used as part of a timeseries forecasting problem. We use Tensorflow's timeseries forecasting tutorial, and implement the data-prep and feature engineering in ByteHub.