Hyperparameter optimization package of the mlr3 ecosystem

Flexible Bayesian Optimization in R

Machine Learning in R

Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem

Successive Halving and Hyperband in the mlr3 ecosystem

focus on machine learning techniques for clustering and regression analysis. It explores real-world datasets to solve challenges and extract meaningful insights. Specifically, it addresses the critical task of predicting when to replace broaches used in manufacturing airplane engines.

Comprehensive dimensionality reduction and cluster analysis toolset

Dataset, scripts, and additional material for the EMSE submission "Best-Answer Prediction in Technical Q&A Sites"

Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models

Machine Learning Hyper-parameter Tuning processes

Machine Learning algorithms in R

Imputation of Missing Values by auto-tuned chaining tree ensembles