Name: Igor Kuivjogi Fernandes
Type: User
Company: University of Arkansas
Bio: Graduate Research Assistant at University of Arkansas Center for Agricultural Data Analytics (CADA) Lab | Statistician
Location: Fayetteville, AR
Blog: https://igorkf.github.io/
Igor Kuivjogi Fernandes's Projects
Applied forecasting
Unofficial implementation of "Max-margin Class Imbalanced Learning with Gaussian Affinity"
Statistical Procedures for Agricultural Research
Experimental Design annotations
Mining Association Rules and Frequent Itemsets with R
This is the official development repository for BCFtools. See installation instructions and other documentation here http://samtools.github.io/bcftools/howtos/install.html
A package to aid in teaching experimental design and analysis through easy access and documentation of helper functions. Renaming of previous BiometryTraining package.
Break lines with creative ways
The content behind MDN Web Docs
Notes from Plant Breeding course from the University of Arkansas
Minha solução para o 1º Desafio da Data Train: https://www.kaggle.com/c/data-train-competicao-ml-1-titanic/overview
The Web framework for perfectionists with deadlines.
A django app that allows the easy addition of Stack Overflow's "PageDown" markdown editor to a django form field, whether in a custom app or the Django Admin
A project to collaborate on testing documentation for Django.
Um exemplo de implementação de uma API usando FastAPI (com autenticação JWT) para resolver dois problemas interessantes.
List of papers related to Agricultural Statistics, Plant Breeding, and Quantitative Genetics
Imputation algorithm capable of handling different types of missingness in clinical data (7th place solution for the Genentech 404 Challenge)
Teste para o time getmore-api
My personal website made with Quarto
Tools and Statistical Procedures in Plant Science
scikit-learn cross validators for iterative stratification of multilabel data
Uma aplicação web de perguntas e respostas (Q&A) feita com React, desenvolvida durante o NLW #06.
Survival analysis in Python
Code for "Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment trials" (Fernandes et. al 2024)
Webscraping de todos concursos do site da Marinha.
Predict how long will it take for a given item to run out of stock (6th place solution for the MeLi Data Challenge 2021, from Mercado Libre)
Essa é uma tarefa da disciplina Análise de Risco, do curso de Estatística da UFG.
💬 This is my personal website built with Django (WIP).