Welcome to the Heart Disease Classifier project! This repository is dedicated to developing a heart disease classification model using supervised learning techniques. The project leverages popular Python libraries such as NumPy, pandas, scikit-learn, and Matplotlib to preprocess data, build models, and visualize results.
Heart disease remains one of the leading causes of mortality worldwide. Early and accurate detection through data analysis and machine learning can play a critical role in improving patient outcomes. This project aims to create a robust classification model that can predict the presence of heart disease based on various medical attributes.
In this project, we will:
- Explore and preprocess a heart disease dataset.
- Develop and evaluate multiple supervised learning models.
- Visualize the performance of these models to gain insights into their accuracy and reliability.
This project is a starting point for building an effective heart disease classifier, with further enhancements and optimizations to be added as development progresses.