Answer / Nirmal Kishore Pandey

Data normalization, also known as feature normalization, is a preprocessing technique used to standardize the range of continuous features within a dataset. It aims to scale each feature to have a mean of 0 and a standard deviation of 1. Normalization can help improve model convergence, prevent dominant features from influencing the results, and make the learning process more stable.

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