Polynomial Regression: The code shows examples of machine learning linear and polynomial predictive models, constructed in a loop such that the user can determine the best model for the data.

Using Decision tree algorithm and Random forest algorithm

Python scipy curve_fit wrapper that fits a range of polynomic functions and returns the best fit.

Multivariate simplex b-spline than can be fitted to N dimensional data using least squares