I finished the first (technically second if you include the optional exploratory analysis) project for the Udacity Machine Learning Engineer Nanodegree I'm enrolled in. It feels more like a mix between a comprehension test and an actual project, but either way I'm super stoked about it and the rest of the projects left in the course.

This project focused on building a model that could accurately predict housing prices in Boston, and came from the module about Model Evaluation and Validation: http://kitmarks.com/boston_housing.html

Next up, Supervised Learning.