Probability of having a credit; using learningmachine.

Various LSBoost examples and benchmarks with PCA and RandomForest dimension reduction.

LSBoost's boosting with Elastic Net, polynomials and heterogeneity in explanatory variables.

Supervised Machine Learning in mlsauce using unsupervised Machine Learning.

Conformalized predictive simulations for LSBoostRegressor, a gradient boosting algorithm for penalized nonlinear least squares.

Machine learning with uncertainty quantification and interpretatbility

Bayesian inference and conformal prediction (prediction intervals) in nnetsauce v0.18.1

rtopy (v0.1.1): calling R functions in Python, based on the command line and text mining and caching tools.

ahead version 0.10.0 in R, Python and Julia; univariate and multivariate time series forecasting.

Download data from the R-Universe API with nnetsauce. Automated Machine Learning, Interpretability and prediction intervals using conformal prediction.