Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs, and @lassjs.

Natural Language Processing (NLP) and programmatic data extraction in large scale fraud investigations.

This repository contains code for normalizing the Enron dataset.

Phishing Detection classifier to filter fraudolent and phishing e-mail.

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.

U3 - AI&BA - M2 TBS - Python for DS Project

A Spam Filter Python implementation without libraries using Naive Bayes Learning.

Email Datasets can be found here

Project work done as part of Udacity's Data Analyst Nanodegree course.

Enron Network Centrality Analytics. First Assignment for Data Analytics course @unimib18/19.

This Repo holds the projects, which I completed as part Udacity Data Analyst Nano Degree. 👨‍🎓🤘

Identification of Enron Employees who may have committed fraud based on the public Enron financial and email.

This is the repository for my project, "Identifying Fraud from Enron Email ," for the Udacity Intro to Machine Learning Course

Report on the performance of different machine learning algorithms in identifying persons of interest in the Enron Fraud Case

Enron Email Analysis

Enron Email ETL