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@article{187760,
        author = {Hule Pranjali Rajendra and Kavathe Vaishnavi Hanmant and Hause Manali Uddhav},
        title = {Olympic Data Analysis Using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {6558-6561},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187760},
        abstract = {The Olympic Games stand as a pinnacle of international competition and a source of immense pride for participating countries. Consequently, each nation endeavors to deliver its utmost performance during the event. Despite concerted efforts, numerous countries and athletes often fall short of securing medals, while others excel, amassing a substantial medal haul.
It's imperative for every country to conduct a meticulous analysis of past statistics to discern areas of improvement and rectify past mistakes. This introspection aids in future development and strategic planning, fostering enhanced performances in subsequent editions of the Games.},
        keywords = {Machine Learning, Kaggle, Notebook.},
        month = {November},
        }