Need of feature scaling

 

  1. Scaling features helps optimization algorithms to reach the minima of cost function quickly.
  2. Scaling features restrict models from being biased towards features having higher/lower magnitude values.
  3. Normalization and Standardization are two scaling techniques.
  4. With gaussian( normal) distributed data samples, Standardization works perfectly.

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