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.

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

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Do you have research experience in machine learning?

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