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Developed a machine learning application in Python using Streamlit to predict heart disease, diabetes and Parkinson’s disease with high accuracy, utilizing advanced data preprocessing techniques and employing Support Vector Machine, Logistic Regression, Naive Bayes, and K-NN Classification models.

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