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feature-extraction

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Developed a modular machine learning pipeline for emotion classification using EEG signals. Implemented preprocessing, feature extraction (band power), and classification with SVM. Results are automatically saved and visualized (confusion matrix, ROC, metrics). Dataset: DEAP (preprocessed EEG data).

  • Updated Sep 3, 2025
  • Python

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