“Random shuffle dataset” is a technique used to rearrange a dataset in a random order. This process ensures that the order of elements in the dataset is not predictable, eliminating any potential biases or patterns that may arise when using the original ordering. Random shuffle algorithms are crucial for data science and analysis, particularly in applications such as machine learning and data preprocessing.
