Hard fork of curso-r/treesnip specifically for CCAO LightGBM regressions

Learners for the `mlexperiments` R 📦

Script to predict fraud clicks in ads.

Custom metrics for LightGBM in R

Just some random reusable R machine learning templates

An R Shiny app to build and understand GBMs and GLMs

Benchmark of timing for CCAO models on different hardware

Portfolio in R

Google Analytics Customer Revenue Prediction (Kaggle)

Laurae's Cross-Entropy Optimization for R

The Effect of the Linux Kernel Page-Table Isolation (KPTI) Patch (Meltdown Vulnerability) on GBMs

Caret R Models Deployment using SQL databases

🌳 Stacked Gradient Boosting Machines

6th Place Solution

An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExplainer)

R package for automation of machine learning, forecasting, model evaluation, and model interpretation