Linear models to deal with non-linear problems
I'm having a hard time wrapping my head around the idea that Linear Models can use polynomial terms to fit curve with Linear Regression. As seen here.
Assuming I haven't miss-understood the above statement, are you able to achieve good performance with a linear model, trying to fit, say a parabola in a 3d space?
Topic machine-learning
Category Data Science