https://github.com/zhenye-na/coursera-ml
💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.
https://github.com/zhenye-na/coursera-ml
andrew-ng andrew-ng-course andrew-ng-machine-learning anomaly-detection coursera decision-trees deep-learning deep-neural-networks kernel-functions linear-regression logistic-regression machine-learning principal-component-analysis support-vector-machines
Last synced: about 2 months ago
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💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.
- Host: GitHub
- URL: https://github.com/zhenye-na/coursera-ml
- Owner: Zhenye-Na
- Created: 2017-11-11T22:53:37.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-03-11T01:31:37.000Z (over 6 years ago)
- Last Synced: 2025-04-06T23:08:53.759Z (3 months ago)
- Topics: andrew-ng, andrew-ng-course, andrew-ng-machine-learning, anomaly-detection, coursera, decision-trees, deep-learning, deep-neural-networks, kernel-functions, linear-regression, logistic-regression, machine-learning, principal-component-analysis, support-vector-machines
- Language: MATLAB
- Homepage:
- Size: 32 MB
- Stars: 17
- Watchers: 2
- Forks: 13
- Open Issues: 1
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Metadata Files:
- Readme: README.md