Hamza Salah
Data Science M.S. candidate passionate about analyzing data, building predictive models, and applying machine learning to real-world problems.
Using Data to Improve MLB Attendance
Project Overview
This course project uses regression analysis to identify factors that increase MLB game attendance and inform data-driven promotional strategies.
Key Insights
- Promotions like bobbleheads boost attendance by ~15%.
- Weather impacts: rain reduces crowds by ~10%.
- Weekends see ~20% higher turnout.
Code and Data
Visualizations
Technologies Used
- Python (Pandas, NumPy, Scikit-learn)
- Jupyter Notebook
- Matplotlib
- Seaborn