ML0018 Data Normalization

Data normalization is the process of scaling data to fit within a specific range or distribution, often between 0 and 1 or with a mean of 0 and standard deviation of 1. It’s used in machine learning and statistical modeling to ensure that features contribute equally to the model’s learning process.