Pandas DataFrame With Tensorflow
This tutorial provides examples of how to load pandas DataFrames into TensorFlow. I also talk about reading data using pandas and datagram as an array with model.fit and with tf.data. I also talk about a DataFrame as a dictionary and dictionaries with keras. I end all of this with an example like build the preprocessing head and create and train a model.
You will use a small heart disease dataset provided by the UCI Machine Learning Repository. There are several hundred rows in the CSV. Each row describes a patient, and each column describes an attribute. You will use this information to predict whether a patient has heart disease, which is a binary classification task.
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