https://github.com/s1998/mlfrombasics

Implementing algos from scratch using numpy
https://github.com/s1998/mlfrombasics

Last synced: over 1 year ago
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Implementing algos from scratch using numpy

• Host: GitHub
• URL: https://github.com/s1998/mlfrombasics
• Owner: s1998
• Created: 2017-05-19T07:46:23.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2018-12-20T16:07:58.000Z (over 7 years ago)
• Last Synced: 2025-02-01T18:27:44.055Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 24.7 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# mlFromBasics

Contains following implementations : 

 Linear Regression - 

  Single input, single output

  Multivariate input, single output

  Multivariate input, multivariate output

 Logistic Regression -

  Multivariate input, single output

  Multivariate input, multivariate output

  

 Perceptron -

  Single layers 

  Multiple layers