Question: why scale data in machine learning?
Answer: Feature Scaling is a technique to standardize the independent features present in the data in a fixed range. ... If feature scaling is not done, then a machine learning algorithm tends to weigh greater values, higher and consider smaller values as the lower values, regardless of the unit of the values.