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fifa-world-cup-analysis

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prernabanthiya / fifa-world-cup-analysis-using-python

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This project provides an in-depth analysis of FIFA World Cup data using Python. It covers key aspects of the matches history, performance trends, and standout insights. Whether you're a football enthusiast or a data analytics fan, this project highlights the intersection of sports and data science.

analysis data-analysis data-analysis-python data-analysis-project match-analysis fifa-world-cup-analysis footbal-analysis
  • Updated Dec 22, 2024
  • Jupyter Notebook

vlb20 / FIFA_WC_2022_Knowledge_Graph

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An ontology-aware Knowledge Graph for the FIFA World Cup 2022, explorable through a Streamlit application. It enables deep analysis via structural queries, semantic similarity (TransE, ComplEx), player search by image, and a RAG pipeline for natural language querying.

python neo4j pytorch knowledge-graph graph-database gds semantic-search apoc image-similarity sports-analytics rag neosemantics football-analytics streamlit generative-ai google-gemini fifa-world-cup-analysis
  • Updated Oct 16, 2025
  • Jupyter Notebook

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