Machine Learning for Early Alzheimer's Prediction

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This coursework explores the detection of Alzheimer's disease, emphasizing the importance of early diagnosis and the role of machine learning. It covers challenges in traditional methods and the shift towards automated, data-driven solutions. Key methodologies include dataset selection, machine learning models, and evaluation metrics. Results highlight model comparisons, ensemble methods, and solutions to overfitting. Future directions discuss utilizing larger datasets, deep learning...