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Using Python, this machine learning project aimed to predict NFL injuries by combining Kaggle data with personally scraped NFL player and injury data. After thorough cleaning and merging, we trained a model to forecast injuries based on weather, age, and position. Utilizing Power BI, we visualized the insights through graphs, offering a comprehensive understanding of injury patterns and contributing factors.

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Machine Learning project where we collected, cleaned, and used open source NFL injuries data to train a model to predict NFL team injury likelihood based on weather, age, and position.

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