https://github.com/georgetruong/stanford-ml
My excercise submissions for Andrew Ng's Stanford ML course on Coursera
https://github.com/georgetruong/stanford-ml
coursera machine-learning
Last synced: about 2 months ago
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My excercise submissions for Andrew Ng's Stanford ML course on Coursera
- Host: GitHub
- URL: https://github.com/georgetruong/stanford-ml
- Owner: georgetruong
- Created: 2022-03-17T06:47:35.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-02-23T18:02:18.000Z (about 2 years ago)
- Last Synced: 2025-01-13T03:42:03.562Z (3 months ago)
- Topics: coursera, machine-learning
- Language: MATLAB
- Homepage:
- Size: 21.3 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# stanford-ml
My exercise submissions for [Stanford's Machine Learning online course](https://www.coursera.org/learn/machine-learning/). Assignments are completed with [GNU Octave](https://www.gnu.org/software/octave/) as per instruction, but I have also rewritten them in Python and Jupyter for learning purposes. For more information about the exercises, please refer to each exercise's PDF file in the exercise's folder (ie `ex1.pdf`).
Let me know if anything could be done better. Constructive criticism is always welcome. Thank you!