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This is a web-based expert system that uses the Naive Bayes classification method. The system is built using the Flask framework and is designed to automate the learning process based on datasets uploaded by the user.
This project is designed to predict the quality of red or white wine based on various features. It utilizes Streamlit for the user interface and incorporates machine learning models from scikit-learn.
Repositorio creado para el Curso de Machine Learning (Aprendizaje Automático) en el programa de Magister en Inteligencia Artificial de la Universidad Adolfo Ibáñez
The project goal is to predict whether the patient has a 10-year risk of future coronary heart disease (CHD). The dataset is from an ongoing cardiovascular study on residents of the town of Framingham, Massachusetts.