R editor and SQL console (in addition to Python editors) in www.techtonique.net

R and Python consoles + JupyterLite in www.techtonique.net

Gradient boosting with any regression algorithm in Python package mlsauce. Part2, R version

Gradient boosting with any regression algorithm in Python package mlsauce

Fitting multiple continuous parametric distributions on a vector of data, use Kullback-Leibler divergence for checking distribution adequation, and simulate best-fitting distribution

Techtonique web app for data-driven decisions using Mathematics, Statistics, Machine Learning, and Data Visualization

Adaptive (online/streaming) learning with uncertainty quantification and explanations using learningmachine in Python and R

Prediction sets and prediction intervals for conformalized Auto XGBoost, Auto LightGBM, Auto CatBoost, Auto GradientBoosting

Quick/automated R package development workflow (assuming you're using macOS or Linux) Part2

Deriving a nonparametric confidence interval for the mean using stratified sampling, the bootstrap, surrogates and density estimation

Adaptive (online/streaming) learning with uncertainty quantification and explanations using learningmachine in Python and R

Bayesian (nonlinear) adaptive learning

Auto XGBoost, Auto LighGBM, Auto CatBoost, Auto GradientBoosting

Forecasting uncertainty: sequential split conformal prediction + Block bootstrap (web app)

learningmachine v2.0.0: Machine Learning with explanations and uncertainty quantification

Forecasting the Economy.

A detailed introduction to Deep Quasi-Randomized 'neural' networks, with examples in Python and R, and a preprint.