Stroke Prediction Model

This project predicts the likelihood of a person having a stroke based on health and demographic features like age, hypertension, BMI, and smoking status.

📊 Overview

• Goal: Classify stroke risk using binary classification.
• Data Source: Stroke Prediction Dataset
• Model Used: Logistic Regression
• Key Metrics: Precision, Recall