Tutorials for Amazon Redshift ML

You can use Amazon Redshift ML to train machine learning models using SQL statements, and then invoke the models in SQL queries for prediction. Machine learning in Amazon Redshift trains a model with one SQL command. Amazon Redshift automatically launches a training job in Amazon SageMaker and generates a model. Once a model is created, you can perform predictions in Amazon Redshift using the model’s prediction function.

Follow the steps in these tutorials to learn about Amazon Redshift ML features:

Tutorial: Building customer churn models
Tutorial: Building remote inference models
Tutorial: Building K-means clustering models
Tutorial: Building multi-class classification models
Tutorial: Building XGBoost models
Tutorial: Building regression models
Tutorial: Building regression models with linear learner
Tutorial: Building multi-class classification models with linear learner

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Amazon Redshift ML probability metrics

Tutorial: Build customer churn models