This project presents a complete data engineering, analytics, machine learning, and Streamlit dashboard pipeline focused on the Abbott World Marathon Majors: Tokyo, Boston, London, Berlin, Chicago, and New York City. Covering the 2018 to 2025 seasons, it analyzes more than 628,000 runner records and 86 verified winner entries.
python challenge machine-learning random-forest linear-regression models data-analysis predictive-modeling ridge-regression data-pipeline gradient-boosting lasso-regression world-marathon run-analytics
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Updated
May 28, 2026 - Python