Ashraf Miah
May 9, 2021

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I think the first two examples relates to Deep Learning models. With regards shuffling data, it depends on what your looking at. For example, for time series based forecasting, the data should not be shuffled.

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Ashraf Miah

Data Scientist and Chartered Aeronautical Engineer (MEng CEng EUR ING MRAeS) with over 15 years experience in the Aerospace, Defence and Rail Industry.