I recently finished teaching my first data science bootcamp at Metis. It was a great experience: interacting with really smart and driven students, learning by teaching, and getting all sorts of new ideas about data science.
I had hoped to launch this blog while in the midst of teaching, but the bootcamp was so all-consuming that I never found the time. Now that I am on my “sabbatical quarter”, I hope to use this blog to capture many of the interesting questions and discussions that arose during the course of the bootcamp.
I’m planning on kicking things off with a series of posts on binary classification: do’s and don’ts, metrics, graphing, threshold setting, probability calibration, unbalanced problems, and more.