https://github.com/geekquad/svm-classification-from-scratch

A basic project to build the classification model with SVM (Support Vector Machine)
https://github.com/geekquad/svm-classification-from-scratch

scratch sklearn sklearn-svm svm-classifier svm-kernel svm-model

Last synced: 27 days ago
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A basic project to build the classification model with SVM (Support Vector Machine)

• Host: GitHub
• URL: https://github.com/geekquad/svm-classification-from-scratch
• Owner: geekquad
• Created: 2020-06-17T12:36:54.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-06-18T11:24:12.000Z (almost 6 years ago)
• Last Synced: 2025-02-24T16:16:49.187Z (over 1 year ago)
• Topics: scratch, sklearn, sklearn-svm, svm-classifier, svm-kernel, svm-model
• Language: Jupyter Notebook
• Size: 57.6 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# SVM-Classification-from-Scratch

A basic project to build the classification model with SVM (Support Vector Machine).

At first approximation, SVM finds a seperating line, more generally called a hyperplane between data of the two classes. 

Support Vector Machine (SVM) is a powerful tool of supervised learning. We can use it to make classification and regression analysis.



Parameters Tuning: 

 Parameters are arguments passed when we create our classifier. 

 In SVM, we have basically three parameters: 



  
 Kernel 

  
 C (regularization factor) 

  
 Gamma (Γ)