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32 public repositories
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Spam Scanner is the best anti-spam, email filtering, and phishing prevention service.
Updated
Oct 11, 2021
JavaScript
Project work done as part of Udacity's Data Analyst Nanodegree course.
Updated
Oct 15, 2019
Jupyter Notebook
Updated
May 12, 2017
Python
Updated
Jan 12, 2018
Jupyter Notebook
Updated
Jan 18, 2018
Scala
A simple machine learning approach to detect the sender based on the mail body of the famous Enron Datasset
Updated
Dec 7, 2017
Python
Email Datasets can be found here
Updated
Jan 21, 2020
Python
This Repo holds the projects, which I completed as part Udacity Data Analyst Nano Degree. 👨🎓 🤘
Updated
Dec 31, 2018
HTML
Updated
Jan 18, 2018
Scala
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.
Updated
Apr 22, 2021
HTML
Updated
Feb 7, 2018
DIGITAL Command Language
Data Analyst Nanodegree Project 5
Updated
Jun 22, 2017
Python
This is the repository for my project, "Identifying Fraud from Enron Email ," for the Udacity Intro to Machine Learning Course
Updated
Jun 19, 2018
Python
Enron Email Search Tool. Fronted by React. Backed by Elasticsearch.
Updated
Apr 9, 2017
JavaScript
A Spam Filter Python implementation without libraries using Naive Bayes Learning.
Updated
Mar 1, 2020
Python
This is a compilation of data visualization and machine learning algorithms applied on the FERC Enron Dataset.
Updated
Mar 2, 2017
Python
📧 💰 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
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Apr 7, 2017
Python
Identification of Enron Employees who may have committed fraud based on the public Enron financial and email.
Updated
Sep 23, 2018
Python
Applied ML algorithms on Enron Dataset to predict Person of Interest (POI)
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Apr 20, 2017
Jupyter Notebook
Machine Learning with Enron to identify person of interest. Implement different algorithms to discover what gives the best result
Updated
Mar 23, 2017
Jupyter Notebook
Natural Language Processing (NLP) and programmatic data extraction in large scale fraud investigations.
Updated
Oct 15, 2021
Jupyter Notebook
Machine learning model for identifying persons-of-interest (POI) from Enron data
Updated
Mar 23, 2017
HTML
U3 - AI&BA - M2 TBS - Python for DS Project
Updated
Dec 15, 2020
Jupyter Notebook
Identify Fraud from Enron Email and Financial datasets
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Aug 11, 2017
Jupyter Notebook
A network analysis of Enron emails
Updated
Aug 23, 2021
Jupyter Notebook
Updated
Jun 23, 2018
DIGITAL Command Language
Updated
Jul 15, 2018
Jupyter Notebook
Report on the performance of different machine learning algorithms in identifying persons of interest in the Enron Fraud Case
Updated
Mar 23, 2018
HTML
Updated
May 25, 2017
Jupyter Notebook
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