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How brain signals become features, and features become predictions using LDA, SVM, and Random Forest. This program explores how classical machine learning pipelines turn noisy EEG recordings into meaningful predictions, focusing on the essential roles of preprocessing, feature extraction, and model interpretation in neurotechnology.