Some implementations of statistical machine learning methods learned in class.

Introduction to Statistical Learning(Standford)

Section 12 of a tentative book on Markov chains with examples of application of Gibbs sampling

My notes on statistics

A collection of algorithms to model memory and forgetfulness

This repository contains code which accompanies the paper: Assessing Model Behaviour on Extreme Counterfactuals (https://www.researchgate.net/publication/360912277_Assessing_Model_Behaviour_on_Extreme_Counterfactuals)

This repository contains a companion guide to Harvey Motulsky's Intuitive Biostatistics, 4th edition. The guide is designed to enhance understanding of the concepts explained in the book by providing practical examples and additional studies in a Jupyter-book format. (work in progress)

🎓 Various university stuff

📖 Un complemento interactivo para entender y dominar la Estadística Aplicada: Estadística Básica, Aprendizaje Estadístico y Ciencia de Datos con R.

scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python

Applied Statistical methods in SAS

OREGON TECH | STATISTICAL METHODS I

Decathlon Sales Analysis in R

mahdi.js is a lightweight client-side JavaScipt library for improved randomization, quality-of-life String and Array methods, and simple statistical tools.

A Statistical approach to data with code and theoretical approaches.

Statistical Inference with the GSS Data

Exploratory Data Analysis of the 2013 BRFSS Data

Big Data Analysis on Netflix Prize Dataset with Hadoop

Analyse statistique sur une base de données sur les accidents de vélo aux États-Unis.

Statistik-Infosammlung für Studierende, Forschende und Unternehmen.