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

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

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

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

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.

Анализ датасета по суицидам в Шаньдуне.

Python Statistical HealthCare Data Analysis

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

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

This project explores Yulu bike rental data to analyze user demand, seasonal trends, and environmental influences on ride volume. Additionally, hypothesis testing was performed to statistically validate key assumptions regarding rental patterns.

Data science project, analysing a new appointment booking product. First draft.

Statistically analyzing the results of an A-B test

Parametrik olmayan istatistiksel yöntemler dersinin ödevi