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Design of an ETL pipeline, machine learning pipeline and use of Natural Language Processing (NLP) to analyze disaster data to build a model for an API that classifies disaster messages.
Program that tests three different trained CNNs architectures (AlexNet, VGG, and ResNet) to determine which one works the best for classifying dog breeds