NBA-Player-Career-Longevity-Prediction-Using-Naive-Bayes-Classifier Cyberoctane29 · COMPLETED
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.
github.com/Cyberoctane29/NBA-Player-Career-Longevity-Prediction-Using-Naive-Bayes-Classifier · ★ 0 · Forks 0 · Size 3.9 MB
SUMMARY
Technologies 1
Scored 1
Observed 1
Practices 6
Evidence 1
Skips 0
COVERAGE
Analyzed 5 files · 28 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-05-02
Last commit 2025-05-04
Active months 1
Commits 28