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This project aims to compare the performance of a convolutional neural network (CNN) implemented using TensorFlow/Keras with that of a Random Forest classifier for binary classification tasks.
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Feature Description
This project aims to compare the performance of a convolutional neural network (CNN) implemented using TensorFlow/Keras with that of a Random Forest classifier for binary classification tasks.
Use Case
The dataset is collected from the following link : https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data
Benefits
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Priority
High
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