Email Datasets can be found here
-
Updated
Jan 21, 2020 - Python
Email Datasets can be found here
🤖 Codes and notes from Udacity Intro to Machine Learning course.
Exploratory Analysis of Enron Dataset and Classification using multiple algorithms
A Person Of Interest identifier based on ENRON CORPUS data.
Anomaly Detection on the Enron financial-email dataset, using specialised unsupervised machine learning algorithms: One-class SVM, Isolation Forest, LOF.
This Repo holds the projects, which I completed as part Udacity Data Analyst Nano Degree. 👨🎓🤘
Contains projects needed to complete Udacity's Data Analyst Nanodegree Program
Udacity Machine Learning
Machine learning algorithms applied to explore Enron email dataset and figure out patterns about people involved in the scandal.
This is the repository for my project, "Identifying Fraud from Enron Email ," for the Udacity Intro to Machine Learning Course
Use support vector machine to do text learning
Machine Learning Basics
The final project for the University of Malta unit Web Intelligence (ICS2205). The 60% component involved an individual analysis on a twitter dataset using NetworkX. The 40% component involves half of group task where an analysis was performed on the enron email dataset using NetworkX.
A quick Python implementation of a text generator based on a Markov process.
A Spam Filter Python implementation without libraries using Naive Bayes Learning.
The Indexer crawls over the enron email dataset folders and indexed each file in the ZincSearch database. It also have a User Interface built with vue which allows you to search over the indexed files based on a keyword.
Machine Learning framework example for Business Email Classification.
Add a description, image, and links to the enron-dataset topic page so that developers can more easily learn about it.
To associate your repository with the enron-dataset topic, visit your repo's landing page and select "manage topics."