Linear regression for non-linear functions
Andrey Vlasenko
Python
4 Chapters
0 Studying now
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.
Технологія
Python
Мова
En
Відгуки
Розділи
4
Basis visualization
Basis change
Polynomial approximation
Sine approximation
0%
Basis visualization
Basis change
Polynomial approximation
Sine approximation
Опис курсу
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.
