In this project, we use Convolutional Neural Networks and K-Nearest Neihboors to identify which patients have pneumonia. The best model (KNN) achieved an acuraccy score of 84% on the test data. The project is developed using a GPU enabled tensorflow Docker image. The data used can be obtained from this Kaggle link
sarambulo/Pneumonia_detection
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