Snowpark 101: Using Snowpark For Python For Data Science With Tasty Bytes

Описание к видео Snowpark 101: Using Snowpark For Python For Data Science With Tasty Bytes

Marie Coolsaet, Senior Data Science Specialist at Snowflake, takes you through her 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 to train and deploy a model in Snowflake, and creates a Streamlit application to dynamically interact with the model. Marie'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 Demo:
→ https://developers.snowflake.com/demo...

To connect with Marie Coolsaet of Snowflake:
→   / marie-coolsaet  

❄ Join our YouTube community ❄
→ https://bit.ly/3lzfeeB

Learn how to build your application on Snowflake:
→ developers.snowflake.com

Join the Snowflake Community:
→ community.snowflake.com

Комментарии

Информация по комментариям в разработке