heart_disease_project

Heart Disease Prediction System

This project is a machine learning–based system designed to predict the likelihood of heart disease using patient medical data.

The model analyzes key health indicators, including:

Age

Gender

Resting Blood Pressure

Cholesterol Level

Maximum Heart Rate

ST Depression (Oldpeak)

⚙️ Project Overview:

The user inputs patient data, and the system processes this information to provide:

A prediction (presence or absence of heart disease)

A probability score indicating the likelihood of the condition

? Key Features:

Data cleaning and preprocessing

Feature selection for improved model performance

Training a machine learning model

Model evaluation with an accuracy of approximately 76%

Interactive input system for real-time predictions

? Objective:

To support early detection of heart disease and assist in data-driven medical decision-making.

?️ Tools & Technologies:

Python

Pandas

NumPy

Scikit-learn

Jupyter Notebook