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
Multivariate simplex b-spline than can be fitted to N dimensional data using least squares
Python scipy curve_fit wrapper that fits a range of polynomic functions and returns the best fit.
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