UdacityDAND_Project5

Machine Learning project: Detect Fraud in Enron Data. This project woks over two datasets, the ENRON financial data and the ENRON emails. These datasets are about ENRON emplyees. The idea is to build a model that will detect if a certain employee was part of the fraud or not, as pointed to by the investigations. The financial data is a numeric data, so regular machine learning techniques were used. The emails are textual data, so Natural Language Processing was used.

Files:

• ENRON_NLTK_ML.ipynb: My work for the email text data. This includes only the final work, any work that lead to this part (like wrong or useless attempts, usage of NLTK) was not included.

• P5_ENRON_FINANCIAL.ipynb: My work over the financial data.

• HTML versions of both .ipynb files, for easier viewing.

• poi_id.py: Includes only my final classifier. Any other attempts are found in the Jupyter notebook ENRON_NLTK_ML.ipynb

• pickled files for the financial data are included as well.

• A list of some references used during the project.