Answer Posted / Shobhit Johri

Standardization (z-score standardization) is a process of rescaling numerical data so that it has a mean of 0 and a standard deviation of 1. Normalization, on the other hand, scales data to a specific range, often between 0 and 1. Both methods are used to make the distributions of features more comparable for machine learning algorithms.

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What are standardization and normalisation? Give one advantage of each over the other?

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