In our previous article/blog we had an overview of Feature Scaling . We saw What is Feature Scaling and How we can use it for our benefit. Basically, we discussed all the theory related to Feature Scaling, lets move ahead and see What are the various ways to achieve Feature Scaling and How we can implement them. The very first and most important technique is " Standardization " also known as " Z-Score Normalization ". The basic idea of this technique is to subtract the mean from each value and divide it by the standard deviation. Doing so will centre the data around its mean with unit standard deviation. Formula Used:- standardization formula This formula is also known as Z-Score, hence the name Z-Score Normalization. What is Z-Score? Internet Defines it as:- A Z-score is a numerical measurement that describes a value's relationship to the mean of a group o