Project

EA Sports FC 26 Player Ratings – Model Comparison Project in Python

Built and compared six regression models (Linear Regression, Ridge Regression, Decision Tree, Random Forest, Gradient Boosting, XGBoost) on the EA Sports FC 26 player ratings dataset (Kaggle) to predict player ratings. Visualized and compared model perfor

• Python
• Linear Regression
• Ridge Regression
• Decision Tree
• Random Forest
• Gradient Boosting
• XGBoost
• Matplotlib
• Seaborn