https://github.com/stabgan/support-vector-regression

I implemented Support Vector Machine as our Regressor both in Python and R
https://github.com/stabgan/support-vector-regression

machine-learning machine-learning-algorithms regression support vector

Last synced: 12 months ago
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I implemented Support Vector Machine as our Regressor both in Python and R

• Host: GitHub
• URL: https://github.com/stabgan/support-vector-regression
• Owner: stabgan
• License: mit
• Created: 2018-01-16T20:59:00.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2021-02-21T08:04:11.000Z (over 5 years ago)
• Last Synced: 2025-06-07T14:06:25.577Z (about 1 year ago)
• Topics: machine-learning, machine-learning-algorithms, regression, support, vector
• Language: R
• Homepage:
• Size: 408 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Support Vector Regression

[Scikit learn on Support Vector Regressors](http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html)

## I used support vector regressors for this specific project 

![down](https://image.ibb.co/cTmCPG/RBF_equations.png)

There are two kernel structures available to us :

![down](https://image.ibb.co/bSpoyb/poly_and_rbf.png)

We used the RBF model :

![down](https://image.ibb.co/iXy3Ww/RBF_KERNEL.png)

# Remember cross_validation is replaced with model_selection