Numerical Variables Transformation

Explore techniques to transform numerical variables to meet Gaussian distribution assumptions for models such as linear and logistic regression. Understand different transformations like logarithm, reciprocal, power, and Box-Cox to improve model performance by making features more Gaussian-like.