Silva, Ivanovitch Medeiros Dantas daAmaral, André Sampaio do2019-07-032021-10-062019-07-032021-10-062018-11-30AMARAL, André Sampaio do. Uma metodologia orientada a dados para precificação de imóveis. 2019. 41f. Trabalho de Conclusão de Curso (Graduação em Engenharia da Computação) - Centro de Tecnologia, Departamento de Engenharia de Computação e Automação, Universidade Federal do Rio Grande do Norte, Natal, 2019.https://repositorio.ufrn.br/handle/123456789/43618This project has the objective of creating an artificial intelligence model capable of estimating the prices of real estate property located in Natal - RN, as well as extracting data relative to these houses and apartments which are listed for sale on different websites destined for the real estate market. The data will be obtained through the Web Scraping technique for subsequent training of a machine learning model which uses regression. All the work developed in this project will be made using Python, more specifically with the Scikit-learn library which contains several different machine learning models.Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/Aprendizado de Máquina; Python; Dados; Web Scraping; Scikit-learn; Regressão; Imóveis.Machine Learning; Python; Data; Web Scraping; Scikit-learn; Regression; Real Estate.bachelorThesis