This Repo holds the projects, which I completed as part Udacity Data Analyst Nano Degree. 👨‍🎓🤘

Report on the performance of different machine learning algorithms in identifying persons of interest in the Enron Fraud Case

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.

Machine learning model for identifying persons-of-interest (POI) from Enron data

Email Network Graph generator (Enron) - Utilizes Fusion Tables

Create HIT on amazon mturk.