Multiple Disease Prediction Using Machine Learning

This healthcare-focused machine learning project implements multiple classification algorithms to predict various diseases based on patient health parameters and symptoms.

The system is designed to assist healthcare professionals in early diagnosis and treatment planning by analyzing patient data and providing probability scores for different medical conditions.

By comparing the performance of different ML algorithms including SVM, Random Forest, and Logistic Regression, the system ensures robust and reliable predictions for better healthcare decision-making.