This is a constantly growing site, containing resources that I find helpful as I work on various projects in data science, machine learning, statistics, and computational musicology. I work primarily in R and Python (with SciKit-Learn), and am currently exploring data analysis and visualization of musical data, textual data, and web user activity. To learn more about these projects, check out my data science blog.
Just for fun, check out R vs Python: head to head for data analysis.
Header image by NATS Press Office (CC BY-NC-ND).