Deep Learning, Neural Networks, Keras, Python.
scaled_train_samples = df[['age', 'area']].values train_labels = df.application_outcome.values type(scaled_train_samples) # numpy.ndarray Generating the model architecture There are two ways to build Keras models: sequential (most basic one) and functional (for complex networks). We will be