Data Transformation: Standardization vs Normalization

 By KDnuggets - 2021-03-14

Description

Increasing accuracy in your models is often obtained through the first steps of data transformations. This guide explains the difference between the key feature scaling methods of standardization and ...

Summary

  • Standardization vs Normalization Increasing accuracy in your models is often obtained through the first steps of data transformations.
  • The difference in Age contributes less to the overall difference.
  • Euclidean distance application.
  • As a result, if you have outliers in your feature (column), normalizing your data will scale most of the data to a small interval, which means all features will have the same scale but does not handle outliers well.

 

Topics

  1. Backend (0.36)
  2. Machine_Learning (0.34)
  3. Database (0.16)

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