Collected data science projects that aren't big enough to get their own repository.
Various classifiers built around the MNIST labeled digits dataset. Initially started as an entry to this Kaggle competition.
A brief analysis of wine quality I built with Ray Weng and Ben Stewart. Demonstrates a number of different classifier models and their performance on the dataset.
The data analysis that I submitted for my interview with the Cornell Data Science project team. A (relatively deep) exploratory analysis of a dataset with cereal nutritional information.