Identify-Fraud-using-Machine-Learning

Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data.

Exploring-Uber-Demand

Investigated a dataset using R and exploratory data analysis techniques, exploring both single variables and relationships between variables.

Wrangle-OpenStreetMap-Data

Chose a region and used data munging techniques to assess the quality of the data for validity, accuracy, completeness, consistency and uniformity.

Autonomous-Driving-Agent

In this project, we work towards constructing an optimized Q-Learning driving agent that navigates a Smartcab through its environment towards a goal.