Z-Score Normalization

Topics: Data Processing

Concept

Z-Score normalization is a data normalization method that transforms the data into a standard normal distribution with a mean of $0$ and a standard deviation of $1$.

The equation for Z-score normalization is as follows (1):

$$Z=\frac{X-\mu}{\sigma}$$

where:

• $Z$ is the normalized score or Z-score
• $X$ is the value of the data point
• $\mu$ is the mean of the dataset
• $\sigma$ is the standard deviation of the dataset

References

1. https://www.geeksforgeeks.org/data-analysis/z-score-normalization-definition-and-examples/