https://github.com/tirthajyoti/graddescent

MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression
https://github.com/tirthajyoti/graddescent

feature-engineering gradient-descent linear-regression matlab matlab-script multivariate-regression octave-scripts

Last synced: about 2 months ago
JSON representation

MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression

• Host: GitHub
• URL: https://github.com/tirthajyoti/graddescent
• Owner: tirthajyoti
• License: gpl-3.0
• Created: 2017-06-16T23:02:24.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-06-22T01:29:07.000Z (almost 8 years ago)
• Last Synced: 2025-02-25T18:45:20.179Z (2 months ago)
• Topics: feature-engineering, gradient-descent, linear-regression, matlab, matlab-script, multivariate-regression, octave-scripts
• Language: Matlab
• Homepage:
• Size: 149 KB
• Stars: 17
• Watchers: 4
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# GradDescent

MATLAB implementation of Gradient Descent algorithm for Multivariable Linear Regression. 

This code example includes,

* Feature scaling option

* Choice of algorithm termination based on either gradient norm tolerance or fixed number of iterations

* Randomized feature vector with randomized exponents (the exact functional relationship is not linear but with random powers of feature vectors)

* Choice of number of observations and features

* Choice of 'learning rate' and number of iterations

* Final table of actual functional coefficients and linear regression coefficients side by side