R package for automation of machine learning, forecasting, model evaluation, and model interpretation
Analytics & Machine Learning R Sidekick
Package: R Interface to AutoKeras
Auto ML for the tidyverse
mlim: single and multiple imputation with automated machine learning
8000🌳 Stacked Gradient Boosting Machines
Flexible Bayesian Optimization in R
Successive Halving and Hyperband in the mlr3 ecosystem
Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem
autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners
AutoML R framework functions for quickly finding stories from data.
Time Series Forecasting RShiny dashboard
This web application is motivated by Baymax of the animated movie Big Hero 6. It detects Valvular Heart disorder i.e. damage or defect in one of the four heart valves. On the Machine Learning side, I have used AutoML from the deep learning platform H2O. And the interactive application is build in RShiny.
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models
Microeconometric analysis of social housing in Austria.
🤖 Credit risk prediction with AutoML in R + fairness analysis by gender. Includes SHAP explainability, parity metrics, and a clear risk-duration visualization.
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