The EEG Classification Model project involves developing a machine learning model to classify brainwave patterns from EEG signals for applications like health monitoring and neurological disorder detection. It focuses on signal processing, feature extraction, and model training using various algorithms.
python tensorflow numpy scikit-learn machine-learning-algorithms neural-networks data-preprocessing model-evaluation time-series-analysis model-optimization eeg-signal-processing feature-extraction-techniques
-
Updated
Feb 12, 2025 - Jupyter Notebook