How to Normalize NumPy Arrays: A Quick Guide

If you’ve been working with Python for data analysis or machine learning, you’ve likely come across NumPy arrays. They’re a powerful tool for handling numerical data, but sometimes, the data within these arrays needs to be adjusted or ‘normalized’ to be effectively used in your algorithms. But what does it mean to normalize an array?

To normalize a NumPy array, you have to adjust the values in the array so that they fall within a certain range, typically between 0 and 1, or so that they have a standard normal distribution with a mean of 0 and a standard deviation of 1.

Continue reading How to Normalize NumPy Arrays: A Quick Guide at Master Data & AI Skills.