Skip to content

The project is based on a dataset for a bank that contains information on customers applying for an advanced credit card and by using Self Organizing map and Artificial Neural Network I was able to make an algorithm that detects potential fraud within these applications by a success rate of 96%

Notifications You must be signed in to change notification settings

Emperor-WS/Fraud-Detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 

Repository files navigation

Fraud-Detection

The project is based on a dataset for a bank that contains information on customers applying for an advanced credit card and by using Self Organizing map and Artificial Neural Network I was able to make an algorithm that detects potential fraud within these applications by a success rate of 96%

i used the following:
Tensorflow
sklearn
pylab
minisom
numpy
matplotlib
and pandas

About

The project is based on a dataset for a bank that contains information on customers applying for an advanced credit card and by using Self Organizing map and Artificial Neural Network I was able to make an algorithm that detects potential fraud within these applications by a success rate of 96%

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages