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: about 20 hours ago
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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 (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2021-12-25T21:16:58.000Z (almost 3 years ago)
• Last Synced: 2023-08-25T18:23:35.639Z (about 1 year 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
• Metadata Files:

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