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imdehydrated/heartDiseaseClassifier — Binary ECG classification (NORM vs Abnormal) using SVM, Random Forest, K-Means,

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1 stars | 0 forks | Python

Binary ECG classification (NORM vs Abnormal) using SVM, Random Forest, K-Means, and a 1D CNN on the PTB-XL dataset.

What it does

The Heart Disease ECG Classifier uses machine learning and deep learning techniques to classify 1-D ECG signals as normal or abnormal. This project is significant for improving early detection of heart diseases using a large, publicly available dataset.

Why it matters: Explore how machine learning can revolutionize heart disease detection with this ECG classifier!

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