Machine Learning
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Use the Assisted Modeling tool to create a machine-learning pipeline.
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Use AutoML as part of a machine learning pipeline to automatically build a model of your data.
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Use Build Features to create features and establish relationships between data in separate tables.
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Use the Classification tool to identify what category a target belongs to.
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Use Data Health to check on the health of your data.
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Use Feature Types to automatically identify what types of features are in your data.
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Use the Fit tool to output a model. It is the final tool in a machine-learning pipeline.
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Use Machine Learning Predict to use models you've built in Alteryx Machine Learning to make predictions about new data.
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Use Machine Learning Send to create or update existing projects in Alteryx Machine Learning.
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Use the Predict tool to make predictions about new data using a machine-learning pipeline you've built.
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Use the Regression tool as part of a machine-learning pipeline to identify a trend.
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Use the Transformation tool to perform a number of data-prep tasks needed for machine learning.