jerfsonbruno Goto Github PK

analise-de-sobrevivencia

Código do trabalho final de análise de sobrevivência.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bigdm

R package for scalable Bayesian disease mapping models for high-dimensional data

brasileirao

R Package with the Brazilian National Soccer League (Brasileirão) matches from 2003 to 2020.

cancerc

cnefe

Censo 2010 - CNEFE - IBGE

comparing-r-inla-and-nimble

This repository contains the R code to fit the models described in Urdangarin et al. (2022)

coronavirus

count-model-diagnostics

Diagnostic plots for count models in R

curso.ggplot2

Curso de visualização de dados utilizando ggplot2

curso.shiny

Curso sobre shiny ministrado na Semana da Estatística da UFRN 2018

deep-learning-in-r

Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization

deeplearning

dnaclassifiers

Machine learning for different DNA sequence types prediction

efi-b450m-hackintosh

OpenCore EFI for B450M

estatistica_espacial

Script do Prof. Alexandre Silva para Estatística Espacial

estimating_locp_cancer_mortality_rates

R code to fit age- and gender-specific shared component models described in Retegui et al. (2021)

genomika_menorsuperstr.py

Algoritmo Genético de Sequenciamento de Potenciais Cromossomos

jerfsonbruno

Config files for my GitHub profile.

jerfsonbruno.github.io

machine-learning-asd-predictors

Machine learning of DNA methylation predictors for Autism Spectrum Disorders (ASD)

machine-learning-in-r

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

mestrado

ml-espm

Repositorio com exemplos iniciais da disciplina de Machine Learning da ESPM

mlg

mmodels_serra_article

R code to fit spatio-temporal M-Models described in Vicente et al. (2020, SERRA)

modeloufpe

multivariate_spatio_temporal_p_spline

prediciton-of-dna-genome-sequencing-using-machineleaningapproaches

A created Python program in supporting of the of my research of 'analysis the different uses of machine learning classificationsto predict the accuracy of genome sequence dataset'

pyrecog

A Pattern Recognition project made in Python. This is a requirement for both Pattern Recognition and Neural Networks class at Universidade Federal Rural de Pernambuco.