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Applied Random Forests, KNN, and MLP to classify Parkinson’s, EEG Eye State, and EEG Alcohol data. Achieved 96% accuracy (MLP) on Parkinson’s, 97% (KNN) on EEG Eye State. Emphasized preprocessing and workflow for health datasets.

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Applied Random Forests, KNN, and MLP to classify Parkinson’s, EEG Eye State, and EEG Alcohol data. Achieved 96% accuracy (MLP) on Parkinson’s, 97% (KNN) on EEG Eye State. Emphasized preprocessing and workflow for health datasets.

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