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lightgbm_r_binaries

Binary lightGBM package for R Windows

machinelearning

CRAN Task View: Machine Learning & Statistical Learning

mayer79

Config files for my GitHub profile.

metricsweighted

R package for weighted model metrics

missranger

Fast multivariate imputation by random forests.

ml_algorithm_comparison

Compares properties of supervised ML algorithms

ml_lecture

intro to ML

model-diagnostics

Tools for diagnostics and assessment of (machine learning) models

modeltuner

An R-toolkit for model evaluation, model comparison and hyperparameter tuning based on cross-validation

notebooks

outforest

Outlier detection based on random forest models

partialplot

Partial dependency plots in R for xgboost, lightGBM and ranger objects

permshap

Permutation SHAP

plumber

Demo of the R package "plumber". How to deploy web services in R

prettybreaks

A small tutorial on how to create R packages

python_notebooks

A collection of ML code snippets

python_pretty

Classic algorithm to create pretty breaks for Python numpy arrays.

r-confidence-intervals-cramers-v

Function to compute confidence intervals for Cramér's V measure of association

r-confidence-intervals-r-squared

Confidence intervals on R-squared

r-source

Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.

random_forest_benchmark

Benchmark for random forests

ranger

A Fast Implementation of Random Forests

rmarkdown_generation

shades

Simple colour manipulation in R

shapforxgboost

SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'

splittools

Light weight R package to do fast data splitting for cross-validation or train/valid/test splits

star_boosting

statistical_computing_material

Material for the lecture Statistical Computing

statistikskript_wiso

Statistikskript

survex

Explainable Machine Learning in Survival Analysis