Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas
Amazon Web Services Anu Kaggadasapura Nagaraja ● Covered by 3 sources
Amazon SageMaker Canvas connected to a Snowflake fraud dataset, prepared features with Data Wrangler’s visual transformations, and exported a training dataset to build a fraud detection model.
Why it matters
In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGBoost fraud detection model. All without writing machine learning code, laying the groundwork for interactive dashboards in Part 3.
Snowflake
Amazon SageMaker Canvas
Amazon Quick
Amazon SageMaker Data Wrangler
XGBoost
Snowflake fraud dataset