Question: Why do we need to scale data in machine learning? It is done to impute outliers It is done to convert the data (different attributes)

Why do we need to scale data in machine learning? It is done to impute outliers It is done to convert the data (different attributes) to a similar scale (magnitude range) It is done to avoid multicollinearity among the variables It is done to treat missing values

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