Lucas Rabelo's Projects
Final Work of the Regression Analysis Course
Aplicativo com informações mais importantes da revista Terra Mãe, pode ser utilizado posteriormente como modelo para o Projeto do Banco de Dados
A collection of research materials on explainable AI/ML
A list of (post-hoc) XAI for time series
Projetos de BD
A space invaders based game, designed with the Pygame library.
Crimes cometidos dentre 2001 até 2020 no estado de São Paulo. Dados da SSPSP.
Roadmap for Data Engineering
Este estudo aborda a aplicacão de mineracão de dados para apoiar decisões no combate ao terrorismo na América Latina. Utilizando o Global Terrorism Database, foram analisados eventos ocorridos desde 1970 em 19 países.
My DS Library | Minha Livraria de Estatística
The pdfs are in portuguese because these projects were designed while attending to the Data analysis lectures ministred in UFBA, but the scripts are in english though.
A project focused on deep fake face recognition of images
Code from the Statistics and Home Gardening Class, A Social Program From The Federal University Of Bahia, Carried By the Department Of Statistics
Pima Diabetes Database from machine learning lectures in The Federal University of Bahia, pdfs are in portuguese.
Course Enrolled in Coursera - Ministred by ESSEC - ESSEC Business School
Repositório com projetos feitos no estágio da SEPLAN(BA) - Secretaria de Planejamento da Bahia - Repository containing all Projects built in my internship at SEPLAN(BA)
Explainable Ai Time Series Course CIN - UFPE
Forecasting the brazilian stock market index using Deep Learning and XAI Methods to explain the forecasts
Final project designed for the Data analysis course available in the Federal University of Bahia-Brazil
This Masters-level course provides an advanced study of intelligent agents, a foundational concept in artificial intelligence. Intelligent agents are autonomous entities capable of perceiving their environment and making decisions to achieve their goals.
Trabalho Final entregue no curso de Introdução a Big Data com aulas ministradas na UFBA.
Deploying the iris predictor web app built with R shiny on Heroku
Adapting LIME explanations for Time Series Data