What is 'Feature Scaling'?

What is 'Feature Scaling'?

Approach: Define the general process of adjusting the range of features.

A method used to normalize the range of independent variables or features of data. It is essential for algorithms that use distance measures (like KNN) or gradient descent.

Follow-up: Does PCA require feature scaling?

Key concepts: normalization, standardization, gradients.