Build And Deploy Snowpark ML Models Using Streamlit And Snowflake Notebooks

Описание к видео Build And Deploy Snowpark ML Models Using Streamlit And Snowflake Notebooks

Kirk Mason, AI/ML Solution Innovation Consultant, shows us how to build and deploy Snowpark ML models using Streamlit and Snowflake Notebooks.

This solution enables you to quickly iterate on building customized Snowpark ML models and let's you test data against deployed models in the Model Registry. It's your ML Sidekick, helping you accelerate your ML development time.

Love this content? Continue exploring this solution by deploying your own Streamlit app using code found in this github repository:
-- https://github.com/Snowflake-Labs/sfg...

Subscribe for more!
-- http://www.snowflake.com/YTsubscribe/

Explore sample code, download tools, and connect with peers:
-- https://developers.snowflake.com/

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