We have a new Win Vector data science article to share: Cross-Methods are a Leak/Variance Trade-Off John Mount (Win Vector LLC), Nina Zumel (Win Vector LLC) March 10, 2020 We work some exciting examples of when cross-methods (cross validation, and also cross-frames) work, and when they do not work. Abstract […]
We had such a positive reception to our last Introduction to Data Science promotion, that we are going to try and make the course available to more people by lowering the base-price to $29.99. We are also creating a 1 month promotional price of $20.99. To get a permanent subscription […]
To celebrate the new year and the recent release of Practical Data Science with R 2nd Edition, we are offering a free coupon for our video course “Introduction to Data Science.” The following URL and code should get you permanent free access to the video course, if used between now […]
Video of our PyData Los Angeles 2019 talk Preparing Messy Real World Data for Supervised Machine Learning is now available. In this talk describe how to use vtreat, a package available in R and in Python, to correctly re-code real world data for supervised machine learning tasks. Please check it […]
Slides for PyData LA 2019 vtreat Talk are here!
Practical Data Science with R, 2nd Edition author Dr. Nina Zumel, with a fresh author’s copy of her book!
Nina Zumel finished new documentation on how vtreat‘s cross validation works, which I want to share here. vtreat is a system that makes data preparation for machine learning a “one-liner” (available in R or available in Python). We have a set of starting off points here. These documents describe what […]
Just got the following note from a new reader: Thank you for writing Practical Data Science with R. It’s challenging for me, but I am learning a lot by following your steps and entering the commands. Wow, this is exactly what Nina Zumel and I hoped for. We wish we […]
vtreat is a DataFrame processor/conditioner that prepares real-world data for supervised machine learning or predictive modeling in a statistically sound manner. vtreat takes an input DataFrame that has a specified column called “the outcome variable” (or “y”) that is the quantity to be predicted (and must not have missing values). […]
We will be speaking at the Tuesday, September 3, 2019 BARUG. If you are in the Bay Area, please come see us. Nina Zumel & John Mount Practical Data Science with R Practical Data Science with R (Zumel and Mount) was one of the first, and most widely-read books on […]