Use cases for Dotscience

In this section are some tutorials showing various ways that Dotscience can be used.

TODO: some of these might belong as tasks instead, where it’s just a simple “use X with Y” thing and doesn’t need a full worked tutorial, e.g. S3 with Jupyter, Git with ds run and such.

TODO: let’s do a full worked example with the roadsigns demo though - ingest images from S3, process them into .p files (this is the data engineering step), train the model & deploy it into production, then monitor it.

TODO: also bring in some tutorials with our various demos (house prices) (various, including hyperparam tuning)

and maybe MNIST for completeness (familiarity)

In this section.