Answer / Lalit Prasad Maurya

Data Normalization (or Standardization) is a preprocessing step in machine learning where the values of features are scaled or transformed to have a mean of zero and standard deviation of one. This is important because many machine learning algorithms perform better when their input data has comparable scales and reduces the effects of outliers, which can otherwise dominate the learning process.

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