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Select and train a model

After framing the problem, getting and exploring the data, sampling a training set and a test set and written transformation pipelines to clean up and prepare the data for machine learning algorithms automatically, the next step is to select and train a machine learning …

Launch, monitor and maintain the system.

This section of the chapter outlines how a trained model can be deployed to a production environment.

Some notes on Scikit-Learn from Chapter 2