Performance of various open source GBM implementations

Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA

Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics

Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central European University

Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics

Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions

GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems

GBM intro talk (with R and Python code)

Size of datasets used for analytics based on 10 years of surveys by KDnuggets.

Code (and other materials) for an introductory talk/workshop on GBMs (developed originally for an R-Ladies Meetup)