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A statistical analysis of the New York City subway passenger behavior.

Using text mining and machine learning to build a “person of interest” classifier.

A reinforcement learning agent using Q-learning to learn how to intelligently drive a cab in a 2D grid world with other agents.

Application and optimization of several supervised learning algorithms on two different classification problems and datasets.

Application and optimization of unsupervised learning and dimensionality reduction algorithms (k-means clustering, expectation-maximization, PCA, ICA, and randomized projections) across the same two datasets from the previous supervised learning survey.

A reproduction of experimental results of Learning to Predict by Methods of Temporal Difference Learning (Sutton 1988).

A reinforcement learning agent using Deep Q-networks (DQN) to control a lunar lander (OpenAI).

A reproduction of experimental results of Correlated Q-learning (Greenwald 2003).