Deep Learning - Deep Neural Network for Beginners Using Python - Scaling the Data (NN Implementation)

The video tutorial covers storing data into a processed data variable, scaling GPA and GRE columns by dividing them by their maximum values, and explaining the scaling process. It also demonstrates how to preview the scaled data and concludes with splitting the data into training and testing sets, as well as separating features and labels.

What does the text suggest about the scaling of ranks?

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What steps are involved in splitting the data into training and testing sets?

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