Data Science & ML
Basic

Z-Score Normalization

Standardizes features to zero mean and unit variance.

Formula

z=x−μσz = \frac{x - \mu}{\sigma}

Variables

xValue
\muMean
\sigmaStandard deviation

Example

x=85, \mu=70, \sigma=10: z = 1.5

Did You Know?

Also called standardization; assumes roughly Gaussian data.

preprocessingscaling