FIFA 2022 Players-Clustering

Tools: Python, scikit-learn, Pandas, Matplotlib, Seaborn

Built a machine learning model to cluster FIFA players into 5 groups based on overall, potential, market value, wage, and age.

Workflow: EDA, Data Cleaning, Feature Selection, Model Training & Evaluation.

Results: Successfully clustered players into 5 meaningful groups with distinct characteristics, providing insights for scouting and player analysis.