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This project utilizes logistic regression to classify numbers 0 and 1 using sign language gestures. It successfully achieves the task of sign language classification, reaching a test accuracy of 93.54%.
Comprehensive research portfolio showcasing advanced machine learning in NLP, computer vision, environmental data science and accessibility using Python, PyTorch, TensorFlow and OpenCV.