Explain about the box cox transformation in regression models

Data Science, AI and ML
,
#1

Explain about the box cox transformation in regression models.

#2

The Box-Cox transformation is a generalized “power transformation” that transforms data to make the distribution more normal.

For example, when its lambda parameter is 0, it’s equivalent to the log-transformation.

It’s used to stabilize the variance (eliminate heteroskedasticity) and normalize the distribution.