ML Study Jams Session-1 & Solutions Challenge

Embark on a journey into Machine Learning essentials, from ML processes to classification, regression, and clustering. Explore Numpy, Pandas, and learn to build simple ML models. Plus, dive into the Solutions Challenge—use Google technologies to address the UN's 17 Sustainable Development Goals. Join us for a transformative experience. Register now for a blend of learning and impact!

Dec 14, 2023, 1:30 – 3:00 PM

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Key Themes

ML Study JamMachine LearningSolution Challenge

About this event

Join us for an insightful event on the fundamentals of Machine Learning (ML) where we will demystify the world of data science and artificial intelligence. Our agenda includes a comprehensive exploration of key topics such as the ML process, types of ML (classification, regression, and clustering), as well as essential tools like Numpy and Pandas. Get ready to dive into the exciting realm of ML model building, with hands-on guidance on crafting your own simple models.

But that's not all – we're taking it a step further! Discover the intersection of technology and global impact as we introduce the Solutions Challenge. Unleash your creativity and problem-solving skills by building solutions aligned with the United Nations' 17 Sustainable Development Goals. We will provide an in-depth overview of the challenge, explain how to register, and highlight the numerous benefits of participating. Be part of a community working towards positive change using cutting-edge Google technologies.

Don't miss this opportunity to gain valuable insights into ML and contribute to creating innovative solutions for a better world. Join us and be prepared to embark on a journey that combines learning, skill-building, and making a meaningful impact.

Speakers

  • Mohammed Uzair

    GDSC MCET

    AI & ML Lead

  • Abrar Sharif

    GDSC MCET

    Lead

  • Gulam Mahmood Qureshi

    Methodist College of Engineering and Technology

    AI & ML Team Member

Organizers

  • Abrar Sharif

    GDSC Lead

  • Syed Saarib Rasheed

    GDSC MCET

    Co-Lead

  • Gowri Sri Vani

    Mobile Application Development Lead

  • Mohammed Abdul Rahman

    Web development Lead

  • Mohammed Uzair

    AI & ML Lead

  • Mohammed khubaib

    Cloud & DevOps Lead

  • Mohammed Adnan

    GDSC MCET

    PR-Lead

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