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Using machine learning we scraped data, cleaned it and trained a model to predict the likelihood of NFL player injuries based on position, weather and age.

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mattflahertyy/Predicting-NFL-Injuries-MachineLearning

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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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Using machine learning we scraped data, cleaned it and trained a model to predict the likelihood of NFL player injuries based on position, weather and age.

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