Description:
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Developed a comprehensive research project, which involved the use of machine learning models such as a Decision Tree Regressor and a Poisson Distribution, to predict National Football League scores.
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The project was further extended to see if these models can place more accurate predictions by creating model-derived win probabilities and comparing them against those from leading bookmakers.
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Achieved a distinction-level mark.
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Read the complete paper here!