Answer / Karan Vidyarthi

Data standardization, also known as feature scaling, is a preprocessing technique used in machine learning to bring the range of features within a dataset on an equal scale. This helps the model to compare and learn from all features equally, especially when using distance-based algorithms like k-nearest neighbors (KNN) or support vector machines (SVM).

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