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Machine Learning
ECG Arrhythmia Detection
Built a deep CNN model for ECG classification achieving 99% training accuracy.
The build
Validated performance with 98.5% accuracy using classification metrics and confusion matrices.
Stack
TensorFlowKerasCNN