Articles by T. Moudiki
mlsauce’s `v0.18.2`: various examples and benchmarks with dimension reduction
Various LSBoost examples and benchmarks with PCA and RandomForest dimension reduction.
Conformalized predictive simulations for univariate time series on more than 250 data sets
Conformalized predictive simulations for univariate time series on more than 250 data sets.
learningmachine v1.0.0: prediction intervals around the probability of the event ‘a tumor being malignant’
learningmachine v1.0.0: prediction intervals around the probability of the event 'a tumor being malignant'; using conformal prediction and density estimation
Multiple examples of Machine Learning forecasting with ahead
rtopy (v0.1.1): calling R functions in Python
rtopy (v0.1.1): calling R functions in Python, based on the command line and text mining and caching tools.
ahead forecasting (v0.10.0): fast time series model calibration and Python plots
ahead version 0.10.0 in R, Python and Julia; univariate and multivariate time series forecasting.
learningmachine: prediction intervals for conformalized Kernel ridge regression and Random Forest
prediction intervals for miles per gallon (mpg) car consumption using conformalized Kernel ridge regression and random forest.
A plethora of datasets at your fingertips Part2: how many times do couples cheat on each other? Descriptive analytics, interpretability and prediction intervals using conformal prediction
Dowload data from R-Universe API, in order to understand a little bit more how many times couples cheat on each other. Descriptive analytics, interpretability and prediction intervals using conformal prediction. [Read more...]
Diffusion models in Python with esgtoolkit (Part2)
Diffusion models in Python with esgtoolkit
Quasi-randomized nnetworks in Julia, Python and R
Machine Learning Classification with quasi-randomized nnetworks in Julia, Python and R [Read more...]
A plethora of datasets at your fingertips
A classifier that’s very accurate (and deep)
nnetsauce version 0.15.0, an example of a deep-layered classifier calibrated with Automated Machine Learning (AutoML)
mlsauce version 0.8.10: Statistical/Machine Learning with Python and R
Version v0.14.0 of nnetsauce for R and Python
Randomized and Quasi-Randomized 'neural' networks for supervised learning and multivariate time series forecasting
A diffusion model: G2++
Diffusion models in ESGtoolkit + announcements
Risk-neutralize simulations
Comparing cross-validation results using crossval_ml and boxplots
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