Distributed Machine Learning with Google Cloud ML

This is a self-paced lab that takes place in the Google Cloud console.

Learn the process for partitioning a data set into two separate parts: a training set to develop a model, and a test set to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.