https://github.com/balaka-18/svm-series

A series of notebooks on Support Vector Machine algorithm
https://github.com/balaka-18/svm-series

binary-classification supervised-learning svm svm-training

Last synced: 8 months ago
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A series of notebooks on Support Vector Machine algorithm

• Host: GitHub
• URL: https://github.com/balaka-18/svm-series
• Owner: BALaka-18
• License: mit
• Created: 2020-07-12T13:05:54.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-07-19T22:50:22.000Z (almost 6 years ago)
• Last Synced: 2025-06-29T10:39:22.521Z (11 months ago)
• Topics: binary-classification, supervised-learning, svm, svm-training
• Language: Jupyter Notebook
• Homepage:
• Size: 6.72 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# SVM Series

A series of notebooks on Support Vector Machine algorithm

Notebook 1 : Notebook on Support Vector Machine(SVM) Geometric intuition : which is a better classifying plane / line ?

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Notebook 2 : Notebook on applying SVM on the Indian Diabetes Dataset to find the best value of C for which accuracy is the highest.

![image](https://user-images.githubusercontent.com/49288068/87575194-2a73c380-c6ed-11ea-9175-30cd0da18306.png)

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Notebook 3 : Notebook to visualize the decision boundary hyperplane of SVM algorithm, for both linearly separable and non-linearly separable data.

LINEARLY SEPARABLE SAMPLE DATA :

![Screenshot (223)](https://user-images.githubusercontent.com/49288068/87726936-9c2b3a80-c7dd-11ea-8fc6-ce6941d82621.png)

NON-LINEARLY SEPARABLE SAMPLE DATA :

1. Linear kernel

![Screenshot (231)](https://user-images.githubusercontent.com/49288068/87887070-5b326080-ca3f-11ea-9c72-aa769ef4ac11.png)

2. Polynomial kernel with default degree = 3

![Screenshot (232)](https://user-images.githubusercontent.com/49288068/87887072-5bcaf700-ca3f-11ea-8bfe-23402bfc6214.png)

3. Polynomial kernel with degree = 2

![Screenshot (235)](https://user-images.githubusercontent.com/49288068/87887118-edd2ff80-ca3f-11ea-9c9f-6e3813a60b59.png)

4. Rbf kernel

![Screenshot (233)](https://user-images.githubusercontent.com/49288068/87887073-5c638d80-ca3f-11ea-9a1d-f9641b94bb3f.png)

5. Gaussian RBF kernel in 3D space

![Screenshot (234)](https://user-images.githubusercontent.com/49288068/87887069-59689d00-ca3f-11ea-9f63-196e8c01cc11.png)

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Notebook 4 : Notebook to find out the best hyperparameters for a SVC working on the very popular Breast Cancer dataset

![Screenshot (229)](https://user-images.githubusercontent.com/49288068/87879758-4a1b2c80-ca0a-11ea-8ee5-acf6eda8bac1.png)

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