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How Much Data Do You Need?

Introduction A common question in analytics, statistics, and data science projects is: how much data do you need? This question actually has very specific and clear answers! A first good answer is “it is good to have a lot.” Let’s dig deeper and get some additional more detailed quantitative answers. […]

Thinking About Linear Regression

Introduction I want to spend some time thinking out loud about linear regression. As a data science consultant and teacher I spend a lot of time using linear regression and teaching linear regression. I have found each of these pursuits can degenerate into mere doctrine or instructions. “do this,” “expect […]

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 […]