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

Email Datasets can be found here

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

📨 A Spam Detector

Enron Email Analysis

A simple machine learning approach to detect the sender based on the mail body of the famous Enron Datasset

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

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

Enron Email ETL

Data Analyst Nanodegree Project 5

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.

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

Enron Email Search Tool. Fronted by React. Backed by Elasticsearch.

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

This is a compilation of data visualization and machine learning algorithms applied on the FERC Enron Dataset.