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.

What you need

You must have completed Lab 0 and have the following:

What you learn

In this lab, you will:

Step 1

In Cloud Datalab, click on the Home icon, and then navigate to notebooks/asl-ml-immersion/1.3_generalization_lab and open create_datasets.ipynb.

Step 2

In Datalab, click on Clear | All Cells. Now read the narrative and execute each cell in turn.

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