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Developed a machine learning model with an RMSE of 1.58 to predict student grades using linear and polynomial regression, random forests, and neural networks.

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Developed a machine learning model with an RMSE of 1.58 to predict student grades using linear and polynomial regression, random forests, and neural networks.

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