https://github.com/erisilver/stanford-machinelearning-ex1
With OCTAVE - For the exercises details, kindly read ex1.pdf in the repo.
https://github.com/erisilver/stanford-machinelearning-ex1
cost-functions feature-scaling gradient-descent linear-regression normal-equations octave optimization polynomial-regression
Last synced: 29 days ago
JSON representation
With OCTAVE - For the exercises details, kindly read ex1.pdf in the repo.
- Host: GitHub
- URL: https://github.com/erisilver/stanford-machinelearning-ex1
- Owner: EriSilver
- Created: 2021-12-25T00:43:47.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-12-25T21:16:58.000Z (over 3 years ago)
- Last Synced: 2025-02-16T17:56:21.336Z (4 months ago)
- Topics: cost-functions, feature-scaling, gradient-descent, linear-regression, normal-equations, octave, optimization, polynomial-regression
- Language: MATLAB
- Homepage: https://www.coursera.org/learn/machine-learning
- Size: 477 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files: