Data Analysis and Machine Learning in Competitive Data Science

In recent years, the development and the speed of adoption of Machine Learning technologies in real World applications have been exceptional by previous standards. Competitive data science offers a way for learning by doing and a way to refresh your knowledge constantly.

Jun 23, 2022, 3:00 – 4:00 PM

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Key Themes

Machine Learning

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

Speaker

  • Victor Olufemi

    Farmz2U

    Data Scientist

Partner

GDSC OUI logo

GDSC OUI

Organizers

  • Abayomi Abayomi

    Google Developer Student Clubs

    GDSC Lead

  • Daniel Adewole

    Web Lead

  • Oluwaseun Salako

    Flutter Lead

  • Ajiboye Michael

    Data Science/Machine Learning Lead

  • Feyisayo Awopetu

    Publicity and Marketing Lead

  • Jolayemi Yusuf

    Ustacky

    Research And Development Lead

  • Anuoluwapo Kuye

    Graphics Design Lead

  • Adesina Lekan

    Competition and opportunity team Lead

  • Ayodeji omonijo

    UI/UX Design Lead

  • Joseph Ofili

    Web Backend Lead

  • Fadilulahi Olasunkanmi

    Cloud Lead

  • Akeem Badmus

    Product Management Lead

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