overview
This solution architecture shows how to run exploratory data analysis and build a customer churn prediction model using Snowpark ML.
- Clean and ingest the Telco customers data into a Snowflake table from an external stage.
- Use Snowpark dataframes to run pre-process the data.
- Build a feature engineering and ML training pipeline using Snowpark ML APIs
- Deploy the model and execute batch inference
- Interact with the model using a Streamlit App