Skip to content

It's a predictive model which identifies whether a person was involved in the Enron fraud or not, using various Machine Learning Classification techniques.

Notifications You must be signed in to change notification settings

roboGOD/Enron-Fraud-Detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Enron Fraud Detection

This project is based on the ​Enron scandal​ (October 2001) which eventually led to the bankruptcy of the ​Enron Corporation​. I built a predictive model which identifies whether a person was involved in the fraud or not, using Machine Learning Classification techniques. I made use of the financial and email data of Enron Corporation which is publicly available for analysis.

Technologies used: Python with NumPy, scikit-learn and matplotlib

About

It's a predictive model which identifies whether a person was involved in the Enron fraud or not, using various Machine Learning Classification techniques.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published