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I developed a machine learning model capable of classifying claims as true, false, or exaggerated, using data collected from a fact-checking agency.
The work addresses the recurrence of thyroid cancer after treatment with Radioactive Iodine Therapy. Predictive models were created and compared to identify patients at risk of recurrence, selecting the one that showed the best results.
The project aims to analyze, in general, the cases of yellow fever in the Brazilian population over the years (1994 to 2023), seeking to identify possible disease outbreaks, cases that progressed to death, patterns among observed patients, and also to carry out comparisons between the macro and micro regions of interest.
Desafio referente a segunda etapa do processo seletivo da empresa Codex
repositorio para o projeto final de LLM
This repository contains all the activities and the project developed in the descriptive data science discipline of the UFCG IT course
Laboratorio 3 - Concorrente - Similaridade
Repository that will contain exercises carried out during studies of the concurrent programming discipline at UFCG.
Open Source Impact
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