Scaling, Normalization, Min Max.
K-nearest neighbors uses distance explicitly when making predictions. For this reason, we actually want features to be on a similar scale. To achieve this, we do what is called normalizing or scaling and centering. Scaling your feature will help improve the quality and predictive power of your