https://github.com/zsxkib/heart-disease-detection
w/ svm (wip) - http://sakib56.github.io
https://github.com/zsxkib/heart-disease-detection
Last synced: 2 months ago
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w/ svm (wip) - http://sakib56.github.io
- Host: GitHub
- URL: https://github.com/zsxkib/heart-disease-detection
- Owner: zsxkib
- Created: 2019-08-23T21:09:01.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-02-13T23:38:14.000Z (over 5 years ago)
- Last Synced: 2025-08-02T12:56:45.505Z (2 months ago)
- Language: Python
- Size: 14.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Heart-Disease-Detection (2019)
This is my approach at implementing a **Support Vector Machine** and applying it to the **Heart Disease dataset**, provided by the [UCI Machine Learning Repository](http://archive.ics.uci.edu/ml/datasets/Heart+Disease)
Unlike many of my other machine learning projects to date, I will not be implementing SVM from scratch. Instead I will be using the popular **Scikit Learn** library. This can be installed by running ```pip install -U scikit-learn``` via terminal.