Answer Posted / 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.

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

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