Identify Fraud from Enron Mail

A nanodegree project.

This is a grading project for course 'Introduction to Machine Learning' which is a part of Udacity's Data Analyst Nanodegree. This project predicts person of interest from the Enron scandal (the ones who were convicted after it) based on various salary and bonus figues, as well as email correspondence.

Writeup itself is in Questions.md, sources are in Sources.md.

Tools:

Python 2.x
MacOS / *nix
scikit, numpy, pandas

Run ./runner.sh in your console.

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
tools		tools
.gitignore		.gitignore
Questions.md		Questions.md
Readme.md		Readme.md
Sources.md		Sources.md
efficiency.csv		efficiency.csv
enron61702insiderpay.pdf		enron61702insiderpay.pdf
evaluation.png		evaluation.png
evaluation_plot.R		evaluation_plot.R
final_project_dataset.pkl		final_project_dataset.pkl
final_project_dataset_modified.pkl		final_project_dataset_modified.pkl
outliers.png		outliers.png
poi_email_addresses.py		poi_email_addresses.py
poi_id.py		poi_id.py
poi_names.txt		poi_names.txt
runner.sh		runner.sh
tester.py		tester.py
tracking_progress.md		tracking_progress.md

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Identify Fraud from Enron Mail

A nanodegree project.

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