Eron Fraud

Developed machine learning algorithms to predict person of interest for fraud detection based on a small and complicated Enron dataset.

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Predicting Fraud at Enron: Who is Person of Interest?

Project report: IPython Notebook documenting the entire process. It includes more development scripts and work-in-progress output (charts and tables) than scripts for identifying POIs. Codes may not be in the exact same order as in the original file.

final_project_dataset.pkl: original dataset

Auxiliary codes:


Output from

  • my_classifier.pkl
  • my_dataset.pkl
  • my_feature_list.pkl

Resource: include references and additional materials coming with final_project folder.


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