Highlights
This is a self-paced lab that takes place in the Google Cloud console. Learn the process for partitioning a data set into a training set that will be used to develop a model, and a test set that can then be used to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.
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