Category Archives: R

Improving Adaboosting with decision stumps in R

Adaboosting is proven to be one of the most effective class prediction algorithms. It mainly consists of an ensemble simpler models (known as “weak learners”) that, although not very effective individually, are very performant combined. The process by which these … Continue reading

Posted in General Programming, Machine Learning, R, Uncategorized | Tagged , , , , , | 2 Comments

From JSON to Tables

“First things first”. Tautological, always true. However, sometimes some data scientists seem to ignore this: you can think of using the most sophisticated and trendy algorithm, come up with brilliant ideas, imagine the most creative visualizations but, if you do not know … Continue reading

Posted in Data Processing, General Programming, R | Tagged , , , , , , , , , , , | 3 Comments