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What is Data Normalisation. What is the need for it?

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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.

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