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:
- working Qwiklabs account
- launched Datalab and cloned the asl-ml-immersion repo
What you learn
In this lab, you will implement a simple machine learning model using tf.learn:
- Read .csv data into a Pandas dataframe
- Implement a Linear Regression model in TensorFlow
- Train the model
- Evaluate the model
- Predict with the model
- Repeat with a Deep Neural Network model in TensorFlow
In Cloud Datalab, click on the Home icon, and then navigate to datalab/notebooks/asl-ml-immersion/1.4_tensorflow_lab and open b_estimator.ipynb
In Datalab, click on Clear | All Cells. Now read the narrative and execute each cell in turn.
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