Developed a custom Convolutional Neural Network (CNN) using TensorFlow/Keras to classify maritime vessels in Venice. Implemented data augmentation and dropout layers to enhance model generalization. Achieved 68% accuracy on complex multi-class image data.
Data and code to reproduce the analysis underlying the stories and interactive map analyzing the city of Chicago's problems with lead water service lines published by Inside Climate News, Grist, and WBEZ.
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