Answer / Jayvardhan Singh

Feature scaling, also known as data normalization or standardization, is the process of adjusting the range of values in a dataset for each feature to ensure that all features are on a similar scale. This helps to prevent certain features from dominating the learning process and improves the performance of machine learning models.

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