Back to search
Top Contributors
46
commits
21
commits
19
commits
14
commits
Clash Royale Analytics Engine - an ML-powered esports analytics platform that predicts match outcomes, analyses deck meta-game strategies, and computes Nash equilibria across 12.4M+ ladder matches. Built with XGBoost, SHAP, DuckDB, and Streamlit. (COMP 3610 Big Data Analytics)
Stars
0
Forks
0
Watchers
0
Open Issues
0
Overall repository health assessment
No package.json found
This might not be a Node.js project
46
commits
21
commits
19
commits
14
commits
Refactor data loading to optimize memory usage and improve performance by reducing memory limit and removing unnecessary sample queries. Introduce a new script to create a sampled parquet file for efficient deployment on Streamlit Cloud.
4f31925View on GitHubRefactor DuckDB queries to use sample size for memory efficiency and set memory limit for connections
3d00d5dView on GitHubRefactor code structure for improved readability and maintainability
e6b39bfView on GitHubRefactor data loading to introduce get_elixir_parquet_source and get_final_ml_parquet_source for improved dataset retrieval
faef666View on GitHubRefactor data loading to introduce get_archetype_parquet_source for improved archetype features retrieval
f0b4f3eView on GitHubRefactor data loading to use huggingface_hub for parquet file retrieval and add sample size limit in match data loading
115337cView on GitHubRefactor data loading to replace ensure_clean_parquet with get_clean_parquet_source for improved path handling
cef5874View on GitHub