Using machine learning to drive business insights is no longer the work of data science teams alone. In this lab, leverage Dataiku’s visual recipes powered behind-the-scenes by their Snowpark ML plugin to train a model and perform inference—all without writing a single line of code or moving any data out of Snowflake. Learn how to easily scale machine learning projects in Dataiku with elastic, on-demand compute from Snowflake fueling every stage of the workflow.
In this instructor-led hands-on lab, we’ll walk through how to:
- Set up tables and environments to run machine learning jobs with Dataiku and Snowflake
- Clean up a sample table of job applications using Dataiku’s Prepare tools to improve the quality of your model’s output
- Train powerful machine learning models to predict fraudulent applications using Dataiku’s no-code Snowpark ML plugin and a Snowpark-optimized warehouse
- Use our best-trained model to generate new fraudulent application predictions on a fresh batch of data
In Partnership With:
Speakers
Carsten Weidmann
Senior Partner Sales Engineer
Snowflake
Steve Franks
Partner Sales Engineer
Dataiku