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What is data standardization in ml?
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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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