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Malaria-AI
Malaria-AI PublicTrained an AI model in Python that determined if images of cells were infected with malaria at an accuracy of 94%
Jupyter Notebook
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College2NBA
College2NBA PublicUtilized a logistic regression model with Scikit-learn to predict players’ probabilities of making the NBA, and integrated the results of the model into a web-application using Streamlit
Python
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Maze-Solver
Maze-Solver PublicCreated a GUI and Backend that creates a randomly-generated maze and solves it using Depth-First Search, Breadth-First Search, and Dijkstra's Algorithm
Java
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bytesize
bytesize PublicForked from arjunaggarwal03/bytesize
ByteSize allows users to find information in documents with phrases and related terms as opposed to Command-F's requirement of being verbatim. This project was made during UMD's Bitcamp Hackathon c…
CSS
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