Bagging machine learning classifier for nfl draftings

This project builds a predictive machine learning pipeline designed to forecast whether an American football player will be selected in the NFL Draft (Drafted = 0 or 1). By analyzing a comprehensive dataset of 2,781 player profiles combining physical measurements, combine athleticism metrics, position types, and background information, the project delivers actionable predictive insights for talent evaluation.