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Linear Regression Implementation using HoldOut CV

version 1.0.0.0 (1.14 KB) by earth science learner
Univariate Linear regression

4 Downloads

Updated 20 Feb 2018

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Linear Regression models a linear relation between independent variables and a target variable by fitting a straight line through the data points. The equation of which is given by Y=M*x+C where M is independent variable, C is intercept and Y is target value. The following code implements the regression problem through Direct equation and Gradient Descent Technique.

Cite As

earth science learner (2020). Linear Regression Implementation using HoldOut CV (https://www.mathworks.com/matlabcentral/fileexchange/66127-linear-regression-implementation-using-holdout-cv), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

kirti RAWAL

Hi, i have used your function. And it worked on eeg dataset. I am grateful to you for providing help. I would always appreciate your help. Once again Thank you.

MATLAB Release Compatibility
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux