This educational repository focuses on working with three types of medical data: tabular data, ECG and EEG signals. It provides implementations of machine learning and deep learning models for processing and analyzing these medical data, with practical projects based on recent research articles.
machine-learning random-forest numpy svm scikit-learn pandas pytorch artificial-intelligence ensemble-learning matplotlib ecg-signal mit-bih-database motor-imagery eegnet diabetes-prediction separable-convolution depthwise-convolutions ecg-arrhytmia-detection 5-finger-classification
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Updated
Jan 7, 2025 - Jupyter Notebook