Linear regression for non-linear functions
Andrey Vlasenko
Python
4 Chapters
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Despite its seeming limitations, linear regression allows us to approximate not only linear functions, but also square, cubic and other polynomials. We also can add more functions to the basis and approximate, for example, functions with trigonometric expressions, roots, exponents and so on.
Linear regression for non-linear functions
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Autor: Andrey Vlasenko
Kursbeschreibung
Despite its seeming limitations, linear regression allows us to approximate not only linear functions, but also square, cubic and other polynomials. We also can add more functions to the basis and approximate, for example, functions with trigonometric expressions, roots, exponents and so on.
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Basis visualization
Basis change
Polynomial approximation
Sine approximation
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