Identification of Enron Employees who may have committed fraud based on the public Enron financial and email.
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Updated
Sep 23, 2018 - Python
Identification of Enron Employees who may have committed fraud based on the public Enron financial and email.
Applied ML algorithms on Enron Dataset to predict Person of Interest (POI)
Identify Fraud from Enron Email and Financial datasets
U3 - AI&BA - M2 TBS - Python for DS Project
Machine learning model for identifying persons-of-interest (POI) from Enron data
Phishing Detection classifier to filter fraudolent and phishing e-mail.
Email Network Graph generator (Enron) - Utilizes Fusion Tables
Enron Network Centrality Analytics. First Assignment for Data Analytics course @unimib18/19.
This repository contains code for normalizing the Enron dataset.
Enron Email ETL
Using Python, I explored and engineered data from Enron email metadata and financials, building and tuning a number of scikit-learn classification models to detect persons of interest.
Machine Learning with Enron to identify person of interest. Implement different algorithms to discover what gives the best result
Natural Language Processing (NLP) and programmatic data extraction in large scale fraud investigations.
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