Linear regression for non-linear functions

Linear regression for non-linear functions

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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.

Basis visualization

Polynomial approximation

Sine approximation

Course Content

Linear regression for non-linear functions

Linear regression for non-linear functions

Basis visualization Basis change Polynomial approximation Sine approximation

Basis visualization

Task

Complete the visualization code of representing the function ax + b as a linear combination of the functions x and 1. The animation is divided into the following three parts: animation of multiply (1) by b, animation of multiply (x) by k, and animation of addition k(x) and b(1)

Task

Complete the visualization code of representing the function ax + b as a linear combination of the functions x and 1. The animation is divided into the following three parts: animation of multiply (1) by b, animation of multiply (x) by k, and animation of addition k(x) and b(1)

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Everything was clear?

Task

Complete the visualization code of representing the function ax + b as a linear combination of the functions x and 1. The animation is divided into the following three parts: animation of multiply (1) by b, animation of multiply (x) by k, and animation of addition k(x) and b(1)

Mark tasks as Completed

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Section 1. Chapter 1

AVAILABLE TO ULTIMATE ONLY

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