district clustering

This model uses freely available data from nflfastR.This project develops an Expected Touchdowns (xTD) model using NFL play-by-play data from 1999–2024. The goal is to estimate the probability of a touchdown on any given play based solely on pre-snap context (e.g., down, distance, yardline, score situation, play type), and then compare expected touchdowns to actual touchdowns for players. The models used are xGBoost and Platt Scaling. The model also outputs top 5 overperformers (luckiest players) and top 5 underperformers (unluckiest players)

prueba

examen 2

Comparative lexemes for concept COW across Africa and Near East