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https://github.com/aja512/ml-stanford-university
Coursera Programming Exercises from Week 2 to Week 9. Please do not copy the code directly from the website. Try it on your own and solve it.
https://github.com/aja512/ml-stanford-university
anomaly-detection clustering data-plotting feature gradient-descent k-means-clustering linear-regression logistic-regression matlab neural-networks normalization octave principal-component-analysis support-vector-machines support-vector-regression
Last synced: about 10 hours ago
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Coursera Programming Exercises from Week 2 to Week 9. Please do not copy the code directly from the website. Try it on your own and solve it.
- Host: GitHub
- URL: https://github.com/aja512/ml-stanford-university
- Owner: aja512
- License: mit
- Created: 2020-10-27T06:46:52.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-04-24T12:57:37.000Z (over 3 years ago)
- Last Synced: 2023-03-07T14:43:51.978Z (over 1 year ago)
- Topics: anomaly-detection, clustering, data-plotting, feature, gradient-descent, k-means-clustering, linear-regression, logistic-regression, matlab, neural-networks, normalization, octave, principal-component-analysis, support-vector-machines, support-vector-regression
- Homepage:
- Size: 20.3 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0