Some implementations of statistical machine learning methods learned in class.
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Updated
Dec 31, 2017 - Jupyter Notebook
Some implementations of statistical machine learning methods learned in class.
Introduction to Statistical Learning(Standford)
Computational Experiments in Materials Science. Diffusion in Solids
Section 12 of a tentative book on Markov chains with examples of application of Gibbs sampling
A geographic information system consists of integrated computer hardware and software that store, manage, analyze, edit, output, and visualize geographic data.
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.
End-to-end project to predict the closing price of the stock market. (time series and statistical inference)
scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python
A program for restoring the image using order statistics filter has been implemented.
Taylor moment expansion in Python (JaX and SymPy) and Matlab
Decathlon Sales Analysis in R
Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications are expanding into areas that were previously thought to be only the province of human experts.
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.
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