Kirk Mason, Solution Innovation Consultant - AI/ML at Snowflake, takes you through his Quickstart Lab on unlocking data-driven decision making with Snowflake for data science. This lab takes third-party data from the Snowflake Data Marketplace, uses Snowpark for Python with a Snowflake Notebook, along with Snowflake Model Registry, to train and deploy a model in Snowflake. Finally, he creates a Streamlit application to dynamically interact with the model. Kirk's goal in this lab is to help the fictional company, Tasty Bytes, by building a model to predict shift sales for food trucks based on parking locations.
Follow along with the Quickstart - https://quickstarts.snowflake.com/guide/tasty_bytes_snowpark_101_for_data_science/
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Explore sample code, download tools, and connect with peers: https://developers.snowflake.com/
