FIFA 2017 to 2022 Exploratory Data Analysis and Player Value Prediction
- The model utilizes feature selection and parameterization techniques to predict the value of players, achieving a low root mean square error (RMSE) value of 0.2.
- The dataset consists of over 17,000 distinct players and encompasses more than 60 columns, incorporating key performance indicators (KPIs) provided by the famous FIFA video game.