Articles by Wallace Campbell

GBMs are awesome: Part I

August 19, 2014 | Wallace Campbell

GBMs have become my favorite type of model over the last two years. In this tutorial, I demonstrate how to use a GBM for binary classification in R (predicting whether an event occurs or not). I also discuss basic model tuning and model inference with ... [Read more...]

Analysis of experimental data with R

December 21, 2013 | Wallace Campbell

It's been a while since my last video, with good reason: I started a full time job as a senior statistician about 2 months ago! Not that I spend my entire day coding in R, but I wouldn't be nearly as useful if I didn't know how to use it. Anyway, ... [Read more...]

K-Fold Cross validation: Random Forest vs GBM

September 25, 2013 | Wallace Campbell

K-Fold Cross validation: Random Forest vs GBM from Wallace Campbell on Vimeo. In this video, I demonstrate how to use k-fold cross validation to obtain a reliable estimate of a model's out of sample predictive accuracy as well as compare two different types of models (a Random Forest and a ... [Read more...]

Multicore (parallel) processing in R

August 27, 2013 | Wallace Campbell

Multicore (parallel) processing in R from Wallace Campbell on Vimeo. If you're not programming in parallel, you're only using a fraction of your computer's power! I demonstrate how to run "for" loops in parallel using the mclapply function from the multicore library. The code can be scaled to any number ... [Read more...]

Using a GBM for Classification in R

August 26, 2013 | Wallace Campbell

I discuss some advantages of Generalized Boosted Models over logistic regression and discriminant analysis and demonstrate how to use a GBM for binary classification (predicting whether an event occurs or not). Using a GBM for Classification in R from... [Read more...]

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