Diabetes Prediction using Machine Learning
I’ve just completed and published a new machine learning project that predicts diabetes using a variety of health metrics such as BMI, glucose level, HbA1c, and more.
? Key highlights:
Applied Logistic Regression, SVM, KNN, and Neural Networks
Performed data cleaning, EDA, model training, and evaluation
Best accuracy achieved using Neural Networks
Visualized results and interpreted key feature impacts
? This project was a great opportunity to apply end-to-end data science skills on real health data.
? Dataset: Diabetes Prediction from Kaggle
? Tools: Python, Pandas, Scikit-learn, Seaborn, Jupyter Notebook