What Is Scaling in Python

Feature Scaling or Standardization: It is a step of Data Pre Processing that is applied to independent variables or features of data. It basically helps to normalize the data within a particular range. Sometimes, it also helps in speeding up the calculations in an algorithm. Package Used: sklearn.preprocessing.

What is scaling in machine learning?

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.

Why is scaling performed?

Feature scaling is essential for machine learning algorithms that calculate distances between data. … Therefore, the range of all features should be normalized so that each feature contributes approximately proportionately to the final distance.