José de Jesus Filho's Projects
ABSTRACT: Student dropout is of the utmost concern in higher education and machine learning techniques have become a powerful tool for proactively identifying students at-risk of dropping out. Data from more than 17,000 National University students were used to train nine machine learning algorithms to predict first-year dropout under four conditions, thus resulting in thirty-six models. The algorithms included were Logistic Regression, Naïve Bayes, Neural Networks, k-Nearest Neighbor, Support Vector Machine with linear and polynomial kernels, Decision Tree, Random Forest, and XGBoost. Modeling conditions varied with regard to class balancing and feature reduction. Models were evaluated based on ROC area and accuracy. Ensemble tree-methods XGBoost and Random Forest were superior across all modeling conditions. Overall, class balancing and feature reduction did not improve model performance. Feature importance was examined and many novel features proved to be useful for dropout prediction. Recommendations for
A JavaScript framework for creating user interfaces to Solr.
Projeto de alienaçao parental
:mag: Ambar: Document Search Engine
A simple React application demonstrating Swiftype App Search integration
Funções para coleta e organização de notícias
Análise de dados como base da atuação do MPSP
Alguns tutoriais sobre R.
Repositório para produção de textos da ABJ
Random Scripts from analisereal.com
Baixa e Organiza dados dos Incidentes de Demandas Repetitivas
Crime analysis and visualization in the city of Boston. Utilizing Boston Police Department's dataset available at https://data.boston.gov/dataset/crime-incident-reports-august-2015-to-date-source-new-system . Project currently in progress
Brazilian Criminal Information in R
Syncronous and asyncronous request from Brazilian government data
An R Package to extract and manipulate labor data from the Brazilian government
Grab Brazilian budget information
Pacote para facilitar buscas fonéticas usando o algoritmo buscaBR para JavaScript
Code for the tutorial on adding actionnable button in datatable in Shiny
Quebra captcha do sistema e-SAJ por áudio
My notes, datasets and scripts from book: Analysis of Categorical Data with R
Classificação Brasileira de Ocupações (CBO)
An AI Based Chatbot
Victor- A generative ChatBot based on Sequential Neural Network and Deep Learning which can be trained on any desired dataset for specific purposes. Instead of ordinary ChatBots which are based on hard-coded responses, it can understand context and respond accordingly.
Taxa de Cancelamento de clientes
Prediction of propensity to churn from the usage behavior using logistic regression.
Leitura dos processos para CIDE
Baixa Jurisprudência do CJF