Data Analysis and Machine Learning in Competitive Data Science

Obafemi Awolowo University
Thu, Jun 23, 4:00 PM (WAT)

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About this event

In recent years, the development and the speed of adoption of Machine Learning technologies in real World applications have been exceptional by previous standards. From the practitioner's point of view, study curricula and previous field experience are being constantly challenged by new methods and new applications. Competitive data science offers a way for learning by doing and a way to refresh your knowledge constantly.

In this talk, we will explore how taking part in data science competitions on the Kaggle platform, a company that is part of Google Alphabet, can help you acquire hands-on experience and stay ahead of recent and relevant methods and algorithms.

*This event is jointly organized by the GDSC at Obafemi Awolowo University



  • Ismail Nurudeen

    Ismail Nurudeen

    Blloc GmbH

    GDSC Lead

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  • Grace Omojola

    Grace Omojola

    Obafemi awolowo university

    R & D (Partnership, Fundraising & Feedback) Lead

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  • Feyisayo Awopetu

    Feyisayo Awopetu

    Events & Logistics Lead

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  • Favour James

    Favour James

    Obafemi Awolowo University

    Competitions & Opportunities Lead

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  • Eunice David

    Eunice David

    Publicity/Marketing Lead

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  • Arafat Olayiwola

    Arafat Olayiwola


    Technical Lead

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  • Adewole Daniel Tolulope

    Adewole Daniel Tolulope

    Graphics Lead

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