Scikit Learn makes it feasible to build a pipeline that combines these two processes into one (Polynomialfeatures and LinearRegression).
To fit a polynomial using general linear regression, you must first add new columns to your spreadsheet with the predictor (x) variable increased to the desired rank of polynomials. For instance, input data of Y, x, and x2 are needed for a second order fit.
A type of linear regression known as polynomial regression models the relationship between the independent variable x and the dependent variable y as an nth degree polynomial. With the notation E(y |x), polynomial regression fits a nonlinear relationship between the value of x and the corresponding conditional mean of y.
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