An R package to extract common schedule and travel metrics for NBA teams.

hooplyticsR is a basketball analytics project that uses machine learning to predict player performance metrics. It applies k-Nearest Neighbors (kNN) regression models to forecast key basketball statistics like points, rebounds, assists, and fantasy scores using the caret package in R.

Project for the exam "Software and information systems design" - Software that predicts the most suitable salary for an NBA player

Examining NBA players and their social power based on their performance.

Software that predicts the most suitable salary for an NBA player