GitHub / Cyberoctane29 / NBA-Player-Career-Longevity-Prediction-Using-Naive-Bayes-Classifier
This project analyzes NBA rookie performance data to predict whether a player will stay in the league for at least five years. Using feature engineering and a Naive Bayes model, it identifies key indicators of career longevity, supporting managers and coaches in player retention decisions.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Cyberoctane29%2FNBA-Player-Career-Longevity-Prediction-Using-Naive-Bayes-Classifier
PURL: pkg:github/Cyberoctane29/NBA-Player-Career-Longevity-Prediction-Using-Naive-Bayes-Classifier
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 3.84 MB
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 16 days ago
Topics: naive-bayes-classifier, naive-bayes-implementation, nba-analytics, nba-classification, nba-stats, sports-analytics, sports-data