https://github.com/ejw-data/ml-classification-grants

Compares several machine learning classification models including a neural network to determine whether to approve or reject a grant applicant
https://github.com/ejw-data/ml-classification-grants

classification neural-network python scikit-learn

Last synced: about 1 month ago
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Compares several machine learning classification models including a neural network to determine whether to approve or reject a grant applicant

• Host: GitHub
• URL: https://github.com/ejw-data/ml-classification-grants
• Owner: ejw-data
• Created: 2022-06-28T13:52:12.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-07-22T06:37:47.000Z (almost 4 years ago)
• Last Synced: 2025-03-15T16:44:35.920Z (over 1 year ago)
• Topics: classification, neural-network, python, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 1.51 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# ml-classification-grants

Author:  Erin James Wills - ejw.data@gmail.com   

![Grant Classification](./images/grant-classification.png)

Photo by [Mari Helin](https://unsplash.com/@mari?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on [Unsplash](https://unsplash.com/s/photos/legal?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)




## Overview  

  


Compares several machine learning classification models including a neural network to determine whether to approve or reject a grant applicant   

   


  

## Technologies    

*  Python

*  Scikit-Learn




## Data Source  

Unknown




## Setup and Installation  

1. Environment needs the following:  

    *  Python 3.6+  

    *  pandas  

    *  scikit-learn

1. Clone the repo to your local machine

1. Activate your environment in that directory  

1. Open a Jupyter Notebook   

1. Run `grant_models.ipynb`