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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

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