What is Normalization?
Normalization is a scaling technique in which values are shifted and rescaled so that they end up ranging between 0 and 1. It is also known as Min-Max scaling.
Here’s the formula for normalization:
Here, Xmax and Xmin are the maximum and the minimum values of the feature respectively.
When the value of X is the minimum value in the column, the numerator will be 0, and hence X’ is 0.
On the other hand, when the value of X is the maximum value in the column, the numerator is equal to the denominator and thus the value of X’ is 1
If the value of X is between the minimum and the maximum value, then the value of X’ is between 0 and 1
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