Overview of Parallel Processing in R

Summary: The foreach package provides parallel operations for many packages (including randomForest). Packages like gbm and caret have parallelization built into their functions. Other tools like bigmemory and ff solve handling large datasets with memory management.

Test accuracy from using rpart in parallel foreach

Different Model Combinations for the DMA Analytics Challenge

DMA Analytics Challenge 2016 Recap

My friend, Josh Jacquet, and I competed in the DMA’s 2016 Analytics Challenge (powered by EY) and placed in the top 5 of the 50 entrants. Given that the majority of the other contestants were agencies vying for a little exposure, I think we did well.

Book Review(s): Writing Quality Code

Summary: Clean Code is a clear guide to writing better software which can be applied to data mining and SQL queries. The Pragmatic Programmer is a more detailed but slightly more antiquated book. Code Complete is a massive tome full of specific guidance.

Clean Code and The Pragmatic Programmer Book Covers

Select Census Geographies include State, Zip Code, MSPA, Congressional District and More.

Get US Census Data with R

Summary: The US Census provides an API that lets you query any of their datasets. Includes population by race, gender, age, and more by zip code, state, congressional district, and a few other geographies.

Using the caret package in R

Summary: The caret package was developed by Max Kuhn and contains a handful of great functions that help with parameter tuning. Purpose of the caret Package The caret package lets you quickly automate model tuning. ¬†Using a training and holdout sample, the caret package trains a model you provide and returns the optimal model based […]