fifa players predictions

This project focuses on building a machine learning system to analyze and predict football player performance using FIFA dataset. The goal is to estimate three key attributes for each player: - Attacking ability - Playmaking skills - Defensive strength These predictions are based on a wide range of player features such as physical attributes, technical skills, and mental characteristics. The project includes several steps: - Data cleaning and preprocessing - Feature engineering to create meaningful performance scores - Encoding categorical variables - Handling missing values and outliers - Building and training machine learning and deep learning models Multiple models were used including: - Random Forest Regressor - Gradient Boosting (XGBoost) - Artificial Neural Networks (ANN) The models were evaluated using R² Score and Mean Squared Error to measure prediction accuracy.