Normalization

Normalization refers to the process of scaling numerical data to a common range, typically between 0 and 1, without distorting differences in the ranges of values. It is often used in machine learning and data preprocessing to ensure that all features contribute equally to model performance. In databases, normalization also refers to the process of organizing data to reduce redundancy and improve data integrity.