Data Science & ML
Basic

Min-Max Normalization

Rescales features to the range [0, 1].

Formula

x′=x−xminxmax−xminx' = \frac{x - x_{min}}{x_{max} - x_{min}}

Variables

xValue
x_{min}Minimum
x_{max}Maximum

Example

x=25 in [0,100]: 0.25

Did You Know?

Min-max scaling preserves the shape of the original distribution.

preprocessingscaling