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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 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
Natural Language Processing (NLP) and programmatic data extraction in large scale fraud investigations.
Enron Email ETL
This is the repository for my project, "Identifying Fraud from Enron Email ," for the Udacity Intro to Machine Learning Course
Data Analyst Nanodegree Project 5
This is a compilation of data visualization and machine learning algorithms applied on the FERC Enron Dataset.
Machine Learning with Enron to identify person of interest. Implement different algorithms to discover what gives the best result
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.
:e-mail: :moneybag: Python + Machine Learning / I analyse the Enron Scandal data and try to predict those who were involved in the Enron fraud based on their financial data
Enron Email Search Tool. Fronted by React. Backed by Elasticsearch.
A Spam Filter Python implementation without libraries using Naive Bayes Learning.
U3 - AI&BA - M2 TBS - Python for DS Project
Email Network Graph generator (Enron) - Utilizes Fusion Tables
Phishing Detection classifier to filter fraudolent and phishing e-mail.
Applied ML algorithms on Enron Dataset to predict Person of Interest (POI)
This repository contains code for normalizing the Enron dataset.
Enron Network Centrality Analytics. First Assignment for Data Analytics course @unimib18/19.
Identification of Enron Employees who may have committed fraud based on the public Enron financial and email.
Machine learning model for identifying persons-of-interest (POI) from Enron data