Analysis of Player Market Value Prediction using Machine Learning

The project focuses on predicting football players’ market value using machine learning techniques. It analyzes various player attributes such as age, position, performance statistics, and previous transfers to estimate their current market value. The system helps scouts, clubs, and agents make data-driven decisions in the transfer market