Case study · Featured
AI-Based EEG Signal Classification
A leakage-free ML pipeline detecting reward-related neural patterns across 32 subjects (DEAP dataset).
- Python
- MNE-Python
- XGBoost
- Scikit-learn
- SMOTE
- Streamlit
Pipeline
Approach
Cross-subject validation, SMOTE for class imbalance, and a Streamlit dashboard for exploring results.