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.