https://github.com/softx0/regresionlineal

A brief explanation of the linear regression algorithm, with use cases, documentation and examples in R
https://github.com/softx0/regresionlineal

calculus descendent-gradient documentation linear-regression machine-learning-algorithms minimum-cuadratic-ordinary r statistical-models

Last synced: about 2 months ago
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A brief explanation of the linear regression algorithm, with use cases, documentation and examples in R

• Host: GitHub
• URL: https://github.com/softx0/regresionlineal
• Owner: Softx0
• Created: 2019-12-18T19:43:26.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-01-25T19:12:56.000Z (over 5 years ago)
• Last Synced: 2025-02-09T09:15:30.441Z (4 months ago)
• Topics: calculus, descendent-gradient, documentation, linear-regression, machine-learning-algorithms, minimum-cuadratic-ordinary, r, statistical-models
• Language: R
• Homepage:
• Size: 33.1 MB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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