- Read in data from a live datasource
- Prepare your data in an IDE of your choice, with an option to leverage distributed computing clusters
- Train several models in various frameworks
- Compare model performance across different frameworks and select the best-performing model
- Deploy model to a containerized endpoint and web-app frontend for consumption
- Leverage collaboration and documentation capabilities to make all work reproducible and sharable!
You will find a full walkthrough of our Workshop here: VERSION 6.x WORKSHOP LINK
You will find a full walkthrough of our Workshop here: VERSION 5.x WORKSHOP LINK