friedman

An implementation of multivariate projection pursuit regression and univariate classification

A set of half automated MATLAB scripts for performing analysis of thermal data (TGA, DSC) and obtaining a kinetic triplet for every reaction stage

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 implementation of Multivariate Adaptive Regression Splines

📊 Statistical analyzers to provide more robust comparisons between Machine Learning techniques.

Easy statistical testing on the web

This repository provides a practical implementation of the Friedman and Nemenyi statistical tests specifically tailored for multi-label classification problems. These techniques are essential for evaluating and comparing the performance of multiple algorithms in experiments where each instance may belong to several classes simultaneously.

An R package implementing MARS algorithm and methods as given in Friedman's paper

Statistical tests for detecting shared privacy concerns of bystander and visually impaired people.

R file that analyses data according to an RCB, Friedman's test and Blocking

Implementação de modelos de regressão e classificação construídos do zero usando apenas NumPy — OLS, regularização de Tikhonov e classificadores Gaussianos (QDA, LDA, Naive Bayes, Friedman) aplicados à previsão de energia eólica e reconhecimento de EMG facial, validados com simulação de Monte Carlo.

Continuation to Data Analysis using more mathematical approach.

Work on a Kaggle competition. In this competition, the task is to place $n$ non-overlapping unit squares (squares with a side length of 1) inside the smallest possible square whose sides are parallel to the coordinate axes; the competition will feature a total of 1,000 such problems.