Random Machine Learning #3

When Feature Scaling should be done? Feature Scaling should be done after splitting the data into train and test datasets. Feature scaling techniques such as normalization will be done using the train data. The important reason for normalization technique to be done after the train and test data split is to avoid data leakage. If