Purpose
Transforms non-normal data into a normal distribution.
How is this done?
Where is this used?
In training linear regression models. Since the linear regression models assume the normality of its features, this statistical tool comes in very handy to transform a feature with a non-normal distribution into a normal distribution
Other uses of it
- To stabilize the variance
- To make patterns in the data more easily recognizable