DEMO
Build a ML model with Snowpark, Snowflake Marketplace, and Streamlit
Tasty Bytes is fictional food truck company, and in this demo, you’ll build a machine learning model that will predict sales at different food truck locations to identify an optimal location to park. You’ll use Snowpark to prepare data, train a model with third-party location data, and deploy the model. You’ll also use Streamlit to visualize the model and help the end user, a food truck vendor, select an optimal parking location. Here’s a brief look at the things you’ll do:
- Use third-party data from the Snowflake Data Marketplace
- Train an ML model in Snowflake with Snowpark
- Deploy the model in Snowflake
- Use Streamlit to visualize the model recommendations