Machine Learning

Use the Assisted Modeling tool to create a machine-learning pipeline.

Use AutoML as part of a machine learning pipeline to automatically build a model of your data.

Use Build Features to create features and establish relationships between data in separate tables.

Use the Classification tool to identify what category a target belongs to.

Use Data Health to check on the health of your data.

Use Feature Types to automatically identify what types of features are in your data.

Use the Fit tool to output a model. It is the final tool in a machine-learning pipeline.

Use Machine Learning Send to create or update existing projects in Alteryx Machine Learning.

Use the Predict tool to make predictions about new data using a machine-learning pipeline you've built.

Use the Regression tool as part of a machine-learning pipeline to identify a trend.

Use the Transformation tool to perform a number of data-prep tasks needed for machine learning.