◐ learning · kind algorithm · level 2 · 10h
- Generaliza: Linear Regression
Linear regression on polynomial features — captures curvature while staying linear in the parameters. A quick lesson in the bias–variance trade-off.
In Statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent variable y is modeled as a polynomial in x. Polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y, denoted E(y |x). Although polynomial regression fits a nonlinear model to the data, as a statistical estimation problem it is linear, in the sense that the regression function E(y | x) is linear in the unknown parameters that are estimated from the data.
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- Generaliza: Linear Regression