Normalization (?????????), is a technique often applied as part of data preparation for machine learning. The goal is to change the values of numeric columns in the dataset to use a common scale, without distorting differences in the ranges of values or losing information.
- It ensures that all features ‘contribute equally’ to the distance calculations, preventing features with larger magnitudes from dominating
- The minimum value will be 0 and the maximum value will be 1