I was not aware of symbolic regression at all, but I'm wondering now if it couldn't be replicated by some feature engineering or playing around with smth like t

I was not aware of symbolic regression at all, but I'm wondering now if it couldn't be replicated by some feature engineering or playing around with smth like the Box Cox transformation. You could afterwards use some feature selection, regularization etc. to retain features that have explanatory power. It wasn't clear to me why symbolic regression would be especially good for highly skewed datasets. Does anybody have an idea?