Skip to content

Latest commit

 

History

History
3 lines (3 loc) · 414 Bytes

File metadata and controls

3 lines (3 loc) · 414 Bytes

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.