https://github.com/ninjawork007/ml_algos_from_scratch

https://github.com/ninjawork007/ml_algos_from_scratch

Last synced: about 2 hours ago
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• Host: GitHub
• URL: https://github.com/ninjawork007/ml_algos_from_scratch
• Owner: ninjawork007
• License: mit
• Created: 2020-03-02T18:21:48.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-03-02T18:24:19.000Z (almost 5 years ago)
• Last Synced: 2024-11-24T01:32:38.166Z (2 months ago)
• Language: Python
• Size: 4.88 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ML-Algos-from-Scratch

This is an implementation of various basic ML-Algos from the scratch without using anything from the sklearn library

This repository has algorithms like SVM Linear Classifier , Logistic Regression , Softmax Regression ( for multiclass classification ) and a modified K-Mean clustering algorithm called K-Means ++  .      

Just download the .py files and run them in your local machine to get the results.

##### All the algorithms have been tested using the IRIS Dataset ..  ########

I will be updating this repository time to time .