Building A Predictive Model For The NBA Draft

In this project I plan on training a model on data related to previous NBA players and their performance statistics to then make predictions about the likelihood of success for future draft prospects. The data used to train the model will include various metrics such as scoring average, rebounds, assists, field goal percentage, and turnovers, among others. Once the model has been trained, it can be used to make predictions about the future performance of draft prospects. This information could be valuable to teams, as it will provide them with a statistical analysis of each prospect’s potential success in the league. The model’s predictions could also be compared with traditional scouting methods, allowing teams to make more informed decisions on draft day.