Email Datasets can be found here
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Updated
Dec 28, 2025 - Python
Email Datasets can be found here
A Person Of Interest identifier based on ENRON CORPUS data.
🤖 Codes and notes from Udacity Intro to Machine Learning course.
Exploratory Analysis of Enron Dataset and Classification using multiple algorithms
This Repo holds the projects, which I completed as part Udacity Data Analyst Nano Degree. 👨🎓🤘
Anomaly Detection on the Enron financial-email dataset, using specialised unsupervised machine learning algorithms: One-class SVM, Isolation Forest, LOF.
Use support vector machine to do text learning in order to classify email by authors
This is the repository for my project, "Identifying Fraud from Enron Email ," for the Udacity Intro to Machine Learning Course
A Spam Filter Python implementation without libraries using Naive Bayes Learning.
A Person Of Interest Identifier Model, for the Enron Fraud Case, based on various Machine Learning Concepts.
Udacity Machine Learning
A quick Python implementation of a text generator based on a Markov process.
Machine learning algorithms applied to explore Enron email dataset and figure out patterns about people involved in the scandal.
Machine Learning Basics
Contains projects needed to complete Udacity's Data Analyst Nanodegree Program
Data mining and network analysis of the Enron email dataset to detect anomalous communication patterns and potential fraudulent behavior. Implements graph-based anomaly detection using Python, NetworkX, and statistical outlier analysis to identify suspicious email activity.
Email classification with classic ML and modern NLP (LSTM/BERT): training, evaluation, benchmarks, reproducible pipeline, CLI and Streamlit demo.
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