Machine Learning Model for Player Impact Analysis
PERSONAL PROJECT
- Developed a Scikit-Learn linear regression model that analyzes the impact of NBA players on their team's success based on their statistical performance.
- Utilized Python, Pandas, and Jupyter Notebook to process and analyze player statistics, including data from NBA stars like Scottie Barnes.
- Created a data-driven approach to quantify player contribution beyond traditional metrics, helping to identify key factors that correlate with team wins and overall success.
- Implemented feature engineering and model evaluation techniques to ensure accuracy and reliability of the player impact predictions.