Machine Learning, Data Science, Overfitting, Underfitting.
for classical machine learning models. There are as many examples of such transformations as you can imagine, but here are the main ones: polynomial features — from x₁, x₂ to x₁, x₂, x₁x₂, x₁², x₂², … (sklearn.preprocessing.PolynomialFeatures class) log(x), for data with not-normal distribution