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
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.
Part 2 of this blog series focuses on data preparation and model building using Amazon SageMaker Canvas. This no-code machine learning service connects directly to Snowflake data sources, allowing users to transform and prepare data visually. The XGBoost algorithm is employed to build a fraud detection model.
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