It was the final project of the Udacity's course Intro to Machine Learning, where I have searched for signs of corporate fraud in Enron data. I conducted an end-to-end process of investigating data through a machine learning lens using Python libraries Pandas and Sklearn.

On this project, I dealt with an imperfect data set, creating, selecting and transforming different features. Also, I validated machine learning results using test data and evaluated them throughout quantitative metrics. Finally, I tuned different algorithms to hit the maximum performance.