MIT-Emerging-Talent

MIT-Emerging-Talent/ET6-CDSP-group-23-repo

Data Strikers ⚽📊 | Turning raw football stats into smart insights—one successful transfer at a time. We tackle messy datasets, extract winning patterns, and collaborate like champions. Team spirit, trust, and data-driven storytelling fuel everything we do.

1 good first / help-wanted issue · Jupyter Notebook · last activity Jul 7, 2025

datascience python sports-analytics teamwork
1 Open Issue Need Help Last updated: Jul 7, 2025

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Data Science • Sports Analytics

AI Summary: The task involves preparing for a meeting with Evan to discuss three key aspects of a football data analysis project: 1) defining a success metric for player transfers (using existing platforms or creating a custom threshold), 2) improving the reproducibility of the transfer dataset (by documenting the manual collection process or re-collecting the data), and 3) deciding whether to use per-90 metrics or season averages for analysis, potentially adjusting the research question accordingly.

Complexity: 3/5
help wanted
MIT-Emerging-Talent/ET6-CDSP-group-23-repo
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Data Strikers ⚽📊 | Turning raw football stats into smart insights—one successful transfer at a time. We tackle messy datasets, extract winning patterns, and collaborate like champions. Team spirit, trust, and data-driven storytelling fuel everything we do.

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#datascience#python#sports-analytics#teamwork