In this video, we will cover the difference between normalization and standardization.

Feature Scaling is an important step to take prior to training of machine learning models to ensure that features are within the same scale.

Normalization is conducted to make feature values range from 0 to 1.

Standardization is conducted to transform the data to have a mean of zero and standard deviation of 1.

Standardization is also known as Z-score normalization in which properties will have the behavior of a standard normal distribution.


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#featurescaling #normalization