**Note, this video includes older content. See the latest on end-to-end ML workflows in Snowflake in this playlist: https://www.youtube.com/playlist?list=PLavJpcg8cl1EwT2S3SVUPoEucb83OlFFz
Learn more about Snowflake ML here: https://www.snowflake.com/en/product/features/snowflake-ml/
In this hands-on lab, Snowflake ML Learning and AI Architect Caleb Baechtold provides a detailed explanation of the inner workings of Snowpark for Python before diving into an interactive lab in which you learn how data teams can go from data and feature engineering to ML model development and productionalizing in a collaborative and scalable way using Snowpark, Apache Airflow, Anaconda, and Streamlit. Prior experience using Python and data science tools such as notebooks and open-source packages is a plus.
Connect with Caleb Baechtold from Snowflake:
LinkedIn: www.linkedin.com/in/caleb-baechtold
Learn how to build your application on Snowflake:
https://developers.snowflake.com
Continue the conversation by joining the Snowflake Community:
https://community.snowflake.com
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