Data Normalisation is a technique in which data is transformed in such a way that they are either dimensionless or have a similar distribution. It is also known as standardization and feature scaling. It's a pre-processing procedure for the input data that removes redundant data from the dataset.
Normalization provides each variable equal weights/importance, ensuring that no single variable biases model performance in its favour simply because it is larger. It vastly improves model precision by converting the values of numeric columns in a dataset to a similar scale without distorting the range of values.
