Email Datasets can be found here
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Updated
Dec 28, 2025 - Python
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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. 👨🎓🤘
This is the repository for my project, "Identifying Fraud from Enron Email ," for the Udacity Intro to Machine Learning Course
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
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.
Machine Learning Basics
Udacity Machine Learning
Contains projects needed to complete Udacity's Data Analyst Nanodegree Program
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.
Email classification with classic ML and modern NLP (LSTM/BERT): training, evaluation, benchmarks, reproducible pipeline, CLI and Streamlit demo.
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.
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