https://github.com/engali94/linear-logistic-regression-swift

Applying Linear and logistic Regression using Swift 5 on Iris dataset [from coursera ML course]
https://github.com/engali94/linear-logistic-regression-swift

Last synced: 2 months ago
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Applying Linear and logistic Regression using Swift 5 on Iris dataset [from coursera ML course]

• Host: GitHub
• URL: https://github.com/engali94/linear-logistic-regression-swift
• Owner: engali94
• License: mit
• Created: 2019-06-02T20:25:22.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-06-02T20:39:57.000Z (almost 6 years ago)
• Last Synced: 2025-01-10T07:57:23.079Z (4 months ago)
• Language: Swift
• Size: 27.3 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Linear and Logistic Regression with Swift 5

This is a very simple example of how to implement logistic regression in Swift, using the famous Iris dataset and a conjugate gradient optimizer.

works with Swift 5 (Xcode 10.2).

Based on the MATLAB code from Andrew Ng's machine learning course at Coursera.