A Data Science Homework which emphasized the working with a dataset of pacients diagnosed with six diseases types.
Additionally, this approach involved analyzing ECG signals represented as a series of discrete scalar data points.
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For solving this classification task, basic Neural Networks constructions were used, with the help of TensorFlow and Pytorch frameworks.