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SQL analysis of Alzheimer's biomarkers using ADNI data

The project aims to predict the likelihood of heart disease in individuals based on medical data using various machine learning algorithms. The project involves data preprocessing, feature selection, model training, and evaluation. The goal is to create a predictive model that assists healthcare professionals in diagnosing heart conditions

This project explores a real-world healthcare dataset using Python and pandas. We loaded, cleaned, and analyzed the data, then used charts to uncover key patterns.