Menu Home

Data Science: Street Fighting Statistics

I am excited to share my guest lecture for Department of Statistics at the University of Illinois STAT 447: Data Science Programming Methods. And thank you to Dirk Eddelbuettel for inviting me! The talk was titled “Data Science: Street Fighting Statistics” and demonstrates two simple supervised modeling tasks in R. […]

Y-Aware PCA

We have had some trouble with some articles being damaged or hard to access in the Win Vector blog. I (John Mount) do want to apologize for that. In particular the graphs are missing for Dr. Nina Zumel’s wonderful y-aware Pricipal Components regression series. The complete R .md and .Rmd […]

wvpy Clean Up

Just a quick administrative note. To lower the number of dependencies in our Jupyter to Python converter (text and video tutorial here) I have moved the other data science tools (and their dependencies) out of the wvpy package and into a new package named wvu (“Win Vector University”). This will, […]

Worry Over Columns, not Rows

I say: if you are a data scientist or working on an analytics project, worry over columns not rows. In analytics “rows” are instances, and “columns” are possible measurements. For example: each click on a website might generate a row recording the visit, and this row would be populated with […]

Wondering How To Think About Data Science

I just got back from a workshop meeting called Digital Transformation of Decision Analysis. This was a workshop organized by Eyas Raddad, David Matheson, and John-Mark Agosta. It was sponsored by The Society of Decision Professionals and Microsoft. Microsoft generously hosted at their new Experience Center at the Microsoft Silicon […]