Predicting-Men-Tennis-Player-Performance Dcroix · COMPLETED
Data Scientists were hired to determine upcoming tennis players who are likely to not progress into the second week of the Grand Slam Tournaments. After being identified, these players could undergo interventions specific to their techniques or tactics needing improvement. Historical data on players' match performances, sourced from University of C
github.com/Dcroix/Predicting-Men-Tennis-Player-Performance · ★ 0 · Forks 0 · Size 196 KB
SUMMARY
Technologies 1
Scored 1
Observed 1
Practices 6
Evidence 1
Skips 0
COVERAGE
Analyzed 3 files · 9 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 2024-10-05
Last commit 2025-05-18
Active months 4
Commits 9