The term normalization and standardization are used a lot in statistics and data science. We sometimes use them interchangeably. People usually get confused between these two terms. But there is a subtle difference between these two. And that’s where the interviewer takes the step and boom! you are doomed. In this article, I’ll explain what normalization and standardization are in a simple language as possible without using much of technical jargon. Their application in real life using examples, and the difference between them. So bear with me for five minutes it will be worth your time.
What is Normalization?
It is a scaling technique method in which data points are shifted and rescaled so that they end up in a range of 0 to 1. It is also known as min-max scaling.

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