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