In a previous post, we demonstrated that ridge regression (a form of regularized linear regression that attempts to shrink the beta coefficients toward zero) can be super-effective at combating overfitting and lead to a greatly more generalizable model. This approach… Continue reading →
After a long 12 months of pouring my soul into it, my book, Data Analysis with R, was finally published. After the requisite 2-4 day breather, I started thinking about how I was going to get back into the swing… Continue reading →
(skip to the shiny app) Model building is very often an iterative process that involves multiple steps of choosing an algorithm and hyperparameters, evaluating that model / cross validation, and optimizing the hyperparameters. I find a great aid in this… Continue reading →
If you've ever started a book and not finished it, it may comfort you to know that you are not alone. It's hard to get accurate estimates of the percentage books that are discontinued, but the rise of e-reading (and… Continue reading →
