This lab is part of a lab series, where you go from exploring a taxicab dataset to training and deploying a high-accuracy distributed model with Cloud ML Engine.
To complete this lab, you need:
In this lab, you will learn how to:
Start Datalab using the instructions in Launch Datalab and come back to this lab.
If you don't already have a bucket on Cloud Storage, create one from the Storage section of the GCP console. Bucket names have to be globally unique.
In Cloud Datalab, click on the Home icon, and then navigate to training-data-analyst/courses/machine_learning/cloudmle and open cloudmle.ipynb.
In Datalab, click on Clear | All Cells. Now read the narrative and execute each cell in turn.
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