Web Reference: Sep 22, 2023 · In this tutorial, we’ve explored the importance of data normalization and delved into three essential normalization techniques in NumPy: Min-Max scaling, Z-score standardization, and L2 normalization. Jul 23, 2025 · This method uses pure NumPy operations to scale all values in an array to a desired range, usually [0, 1]. It's fast, efficient and works well when you're handling normalization manually without external libraries. normalize requires a 2D input. You can pass the axis= argument to specify whether you want to apply the normalization across the rows or columns of your input array. Note that the 'norm' argument of the normalize function can be either 'l1' or 'l2' and the default is 'l2'.
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