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

The video tutorial explains how to perform random sampling and split data into training and testing sets using Numpy. It covers the process of selecting random indices from a dataset, allocating data to training and testing sets, and adjusting the train-test split ratio. The tutorial also discusses separating features and labels for training purposes, ensuring a clear understanding of data preparation for machine learning tasks.

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