🩺 Disease Prediction System using Machine Learning

📌 Overview

This project is a Machine Learning-based Disease Prediction System that predicts whether a person is likely to have a particular disease based on various health-related input features. It uses Logistic Regression as the primary model and compares its performance with other ML models for better accuracy.

🚀 Features

✅ Predicts disease likelihood based on health parameters ✅ Uses Logistic Regression for classification ✅ Includes data preprocessing & feature scaling ✅ Displays accuracy, classification report, and confusion matrix ✅ Simple web-ready code structure for future deployment

🧠 Tech Stack

Programming Language → Python 🐍

Libraries Used →

pandas → Data handling

numpy → Numerical operations

matplotlib & seaborn → Visualization