Normalization and standardization are two different techniques used for scaling and preprocessing data. They serve to transform the data into a consistent format or range, which can be beneficial for many machine learning algorithms. The main differences between normalization and standardization are:: (check as many as apply) The range of data after standardization or normalization would be same Normalization is more sensitive to outliers Standardized data has a mean of 0 The standard deviation of data after normalization or standardization will be different Normalization and standardization are two different techniques used for scaling and preprocessing data. They serve to transform the data into a consistent format or range, which can be beneficial for many machine learning algorithms. The main differences between normalization and standardization are:: (check as many as apply) The range of data after standardization or normalization would be same Normalization is more sensitive to outliers Standardized data has a mean of 0 The standard deviation of data after normalization or standardization will be different