https://github.com/jsd115/tensorflow_bankfrauddetection

This repository aims to provide examples of my ability to produce ML models using tensorflow and sklearn
https://github.com/jsd115/tensorflow_bankfrauddetection

numpy pandas sklearn tensorflow

Last synced: 14 days ago
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This repository aims to provide examples of my ability to produce ML models using tensorflow and sklearn

• Host: GitHub
• URL: https://github.com/jsd115/tensorflow_bankfrauddetection
• Owner: jsd115
• License: mit
• Created: 2024-08-19T12:58:25.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-21T23:09:08.000Z (3 months ago)
• Last Synced: 2024-11-03T04:02:54.518Z (14 days ago)
• Topics: numpy, pandas, sklearn, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 4.92 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# tensorFlow_bankFraudDetection

The project aims to combine the power of Sklearn's data processing and feature selection capabilities as well as the Tensorflow neural network frameworks to correctly identify bankruptcies based off of a number of features.

## Packages used:

* Pandas: https://pandas.pydata.org/pandas-docs/stable/index.html

* Numpy: https://numpy.org/doc/

* Tensorflow: https://www.tensorflow.org/

* Sklearn: https://scikit-learn.org/stable/index.html

  

## The dataset can be found on kaggle.

Link: https://www.kaggle.com/datasets/fedesoriano/company-bankruptcy-prediction

## Some resources referenced during the creation of the project 

* Link 1: https://medium.com/@sreeku.ralla/activation-functions-relu-vs-leaky-relu-b8272dc0b1be

* Link 2: https://medium.com/arteos-ai/the-differences-between-sigmoid-and-softmax-activation-function-12adee8cf322