distfit is a python library for probability density fitting.

Collection of stats, modeling, and data science tools in Python and R.

benfordslaw is about the frequency distribution of leading digits.

missCompare R package - intuitive missing data imputation framework

Python implementation of an extension of the Kolmogorov-Smirnov test for multivariate samples

A clinical genomics-guided prioritizing strategy enables accurately selecting proper cancer cell lines for biomedical research

Computational predictions of protein attributes associated with COVID-19 using Data Science techniques

Code for testing Concept drift techniques on a real word dataset on a hexapod robot

APEXSENSUN is a package in R for performing uncertainty and sensitivity analysis for the APEX model.

Hands-on Instructions on Different courses

An analysis and classification model on Power Outages.

Анализ датасета по суицидам в Шаньдуне.

This repository contains data science tools and methods, and my take and notes on some of them

Implementing Unif(0,1) Pseudo Random Generators & performing Statistical Tests on them

Samples generations using discrete probability and Kolmogorov-Sirmnov test

Shandong suicide dataset analysis

Machine Learning basics codes I wrote in 2020

This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.

The Monte Carlo method and the Kolmogorov-Smirnov correspondence criterion for a generation task

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.