Exercise

Setting the data type

In this exercise, you will both load data and set its type. Note that housing is available and pandas has been imported as pd. You will import numpy and tensorflow, and define tensors that are usable in tensorflow using columns in housing with a given data type. Recall that you can select the price column, for instance, from housing using housing['price'].

Instructions

100 XP

Import numpy and tensorflow under their standard aliases.
Use a numpy array to set the tensor price to have a data type of 32-bit floating point number
Use the tensorflow function cast() to set the tensor waterfront to have a Boolean data type.
Print price and then waterfront. Did you notice any important differences?

Take Hint (-30 XP)