https://github.com/admacpherson/multinomial-logistic-regression

Development space for multinomial logistic regression projects
https://github.com/admacpherson/multinomial-logistic-regression

Last synced: 8 months ago
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Development space for multinomial logistic regression projects

• Host: GitHub
• URL: https://github.com/admacpherson/multinomial-logistic-regression
• Owner: admacpherson
• Created: 2024-12-22T23:33:07.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-23T00:05:13.000Z (over 1 year ago)
• Last Synced: 2025-03-27T12:36:13.254Z (about 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 217 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Multinomial-Logistic-Regression

The goal of this repository is to explore Multinomial Logistic Regression techniques (MLR) through various datasets. We begin with the famous MNIST computer vision set, a corpus of handwritten digits 0 - 9 available via import with use of `sklearn`.

## Acknowledgements

All code is based off of 1.2   MLR example through code - MNIST dataset from [Multinomial Logistic Regression for beginners](https://www.kaggle.com/code/saurabhbagchi/multinomial-logistic-regression-for-beginners). 

Author: Arthur Mensch


arthur.mensch @m4x.org 


License: BSD 3 clause