An implementation of multivariate projection pursuit regression and univariate classification
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Updated
Jan 2, 2024 - Python
An implementation of multivariate projection pursuit regression and univariate classification
No-parametric comparison of convolutional neural networks and transformers to classify COVID-19
An implementation of Multivariate Adaptive Regression Splines
Compute Friedman and Nemenyi Statistical Tests for Multilabel Classification
📊 Statistical analyzers to provide more robust comparisons between Machine Learning techniques.
A set of half automated MATLAB scripts for performing analysis of thermal data (TGA, DSC) and obtaining a kinetic triplet for every reaction stage
Statistical tests for detecting shared privacy concerns of bystander and visually impaired people.
Continuation to Data Analysis using more mathematical approach.
Easy statistical testing on the web
writR: is an R package for automated inferential testing (for group differences) and reporting based on parametric assumptions, which are tested automatically for test selection.
An R package implementing MARS algorithm and methods as given in Friedman's paper
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