Standardization vs Normalization: How to Choose the Right Technique

It’s completely fine if you feel confused between the topics “Standardization” vs “Normalization”

Before we start, last time we deep dived in to Standardisation & Normalisation and I would highly suggest you to read my previous blog.

Normalisation & Standardisation — Ensuring equal treatment of variables

Thumb Rule:-

First understand, the purpose of both techniques is to convert numerical data to a common scale to eliminate the effects of differences in measurement units and to facilitate the interpretation and comparison of the data.

But Why ?

This ensures that each variable contributes equally to the analysis, regardless of its original scale or magnitude.

Distance-based machine learning algorithms like KNN, Hierarchical Clustering, etc rely on the magnitude of the feature. Features with higher scales might dominate the rest of…