What is Feature Scaling ?
Feature Scaling is done on the dataset to bring all the different types of data to a Single Format. Done on Independent Variable.
Some Algorithm, uses Euclideam Distance to calculate the target. If the data varies in Magnitude and Units, Distance between the Independent Variables will be more. SO,bring the data in such a way that Independent variables looks same and does not vary much in terms of magnitude.

#standardscalar #scaling-pandas #minmaxscalar #feature-scaling

Feature Scaling. Why we go for Feature Scaling ?
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