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his tutorial demonstrates how to classify structured data (e.g. tabular data in a CSV). We will use Keras to define the model, and feature columns as a bridge to map from columns in a CSV to features used to train the model. This tutorial contains complete code to: Load a CSV file using Pandas. Build an input pipeline to batch and shuffle the rows using tf.data. Map from columns in the CSV to features used to train the model using feature columns. Build, train, and evaluate a model using Keras.
