In this Snowpark 101 for Data Science guide, you will help the fictitious food truck company, Tasty Bytes, to increase sales by training a model to provide location recommendations to truck drivers. You will use Snowpark for Python to prepare data, train a model, and deploy the model. Once deployed, you will create an application prototype using Streamlit to demonstrate how truck drivers could use the model to find the best location to park for an upcoming shift.
For prerequisites, environment setup, step-by-step guide and instructions, please refer to the QuickStart Guide.