Machine Learning Algorithms

Polynomial regression

Polynomial regression is a technique based on a trick that allows using linear models even when the dataset has strong non-linearities. The idea is to add some extra variables computed from the existing ones and using (in this case) only polynomial combinations:

For example, with two variables, it's possible to extend to a second-degree problem by transforming the initial vector (whose dimension is equal to m) into another one with higher dimensionality (whose dimension is k > m):

In this case, the model remains externally ...