diabetes

? Project Summary

A machine learning project that predicts diabetes in female patients using medical diagnostic data. The model analyzes key health indicators like glucose level, BMI, age, and blood pressure to determine diabetes risk with high accuracy.

? Quick Facts

Dataset: 768 patient records, 8 medical features

Target: Diabetic (1) / Non-diabetic (0)

Tools: Python, Scikit-learn, Pandas, Plotly

Models: Logistic Regression, Random Forest, SVM

? Key Features Analyzed

Glucose level (most significant factor)

BMI & Age

Blood pressure & Insulin

Pregnancy history

? Main Outcomes

✅ Identified top risk factors for diabetes

✅ Built accurate predictive model

✅ Created interactive data visualizations

✅ Handled missing medical data effectively

? What I Delivered

Predictive model for early diabetes detection

Interactive dashboard showing patient insights

Data analysis report with medical correlations