2021 Call for Code Awards: Live from New York, with SNL’s Colin Jost! Learn more

Automating your data science Jupyter notebook workflow with Open Source tools

Whether you are just getting started in Data Science or are seasoned data scientist, the JupyterLab IDE is likely a tool you are using frequently to get work done. This tutorial session introduces you to Elyra – a set of of AI-centric extensions to JupyterLab – that provide support for ML workflow pipelines, Git versioning, code snippets, and much more. You’ll learn how to create a Machine Learningg pipeline from Jupyter notebooks or Python/R scripts using Elyra’s Visual Pipeline Editor, and how to run pipelines locally in JupyterLab or remotely on Kubeflow Pipelines or Apache Airflow.

Find step-to-step instructions for this session here.