/fifa-player-position-prediction

Predicting a FIFA player's playing position based on their skills using artificial neural networks.

Primary LanguageJupyter NotebookMIT LicenseMIT

Football Player Position Prediction (FIFA Dataset)⚽️

  • In this project, we predict a FIFA player's position based on their skill levels, attributes and personal information.
  • The data is adopted from this Kaggle dataset and uploaded here.
  • We use the FIFA-19 data for training and FIFA-20 data for testing.
  • We train multiple Multi Layer Perceptron models (simple artificial neural networks) with and without Regularization to understand the difference in performance. The Regularization techniques used are Early Stopping and Dropout Layer.