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Linear regression for non-linear functions Course - Online Learning with Certificate
python

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.

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Technology

Python

Language

En

Rating

Chapters

4

Basis visualization

Basis change

Polynomial approximation

Sine approximation

0%

Basis visualization

Basis change

Polynomial approximation

Sine approximation

Course description

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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