This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

Collection of personal Python Notebooks for Medical Thesis Statistics

Theory and implementatuon of various A/B experiments

Doubly robust estimators of ordinal treatment effects

An NPM module for computing the Mann-Whitney U test (a nonparametric statistical test)

Analysis of MS lesions locations and their relation to the developing disability

Mann Whitney U Test Implementation

[MATLAB] A toolbox containing the standard non-parametric tests used.

Inferential analysis with two sample t-tests and Mann Whitney U, to test a change implemented from a game patch

Shandong suicide dataset analysis

Тыкаюсь в темах интенсива A/B-week от ШАДа

Como descrever meus dados? Quais testes estatísticos devo usar? Síntese dos testes estatísticos (introdutórios) que podem ser usados em uma análise de dados em saúde.

Python Statistical HealthCare Data Analysis

Анализ датасета по суицидам в Шаньдуне.

Optimización de ingresos e-commerce mediante priorización ICE/RICE y análisis de Tests A/B. Implementación robusta con Mann-Whitney U, corrección de Bonferroni y filtrado técnico de outliers (P96/P97) para identificar el impacto real en conversión. Desarrollado con Python y Pandas 3.0 (PyArrow backend) para procesamiento de alto rendimiento.

Проекты по статистике

Исследование влияния характеристик клиентов, которых страховая компания обслуживает, на размер страховых выплат

This script computes two indices of effect size for pairwise comparisons based on the Mann Whitney U statistic.

Random Forest vs nested logistic regression comparing predictors of AI adoption among K-12 educators (N=189). Beliefs about student learning dominate all predictors (importance=0.415). 97.3% accuracy, AUC=1.000. JASP for stats/ML, Python for visualization. DOI: 10.5281/zenodo.17519163