cardiovascular disease predictor:

This repository contains the source code for a web application that predicts the risk of cardiovascular disease (CVD) using Python and the Streamlit framework. The deployed version of the app is available at https://eclinic.streamlit.app/.

## Features:

• User-friendly interface: The app provides a simple interface for users to input their health data and receive predictions about their cardiovascular disease risk.
• Streamlit framework: Streamlit allows for rapid development and deployment of data science applications.
• Python: This codebase leverages Python for efficient data manipulation and model creation.

Getting Started:

1. Clone the repository: git clone https://github.com/mrzakariarajabi/Machine-Learning-Web-APP.git
2. Install dependencies: Refer to a requirements.txt file (if present) or install necessary libraries using pip install.
3. Run the app: Execute streamlit run app.py (replace app.py with the actual main script name if different).