We build models for heart disease prediction using scikit-learn and keras. Based on the 'Cleveland Dataset' available on kaggle.
Projects of the undergraduate course about Design of Machine Learning-Based Systems [DCA0305] offered at UFRN
This repository contains a Python-based project for predicting the likelihood of heart disease using a Logistic Regression machine learning model. It leverages a dataset of patient medical information to train and evaluate the model, providing insights into potential diagnoses.🩺
Heart disease prediction using machine learning algorithms.
Machine learning algorithms play an essential and precise role in the prediction of heart disease. An accurate prediction would thereby help to reduce the death rate of heart patients.
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