ML Study Jams-2

Embark on a journey of discovery and collaboration as we delve into the realms of clustering, regression, classification, and UI development with Streamlit.

Feb 13, 1:30 – 2:30 PM

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Key Themes

ML Study JamMachine Learning

About this event

Join us for an exhilarating ML Study Jams event where we dive into the fascinating realms of clustering, regression, and classification algorithms. Whether you're a seasoned ML enthusiast or just starting your journey, this event promises to enrich your knowledge and skills in machine learning.

Throughout the session, we'll explore the fundamental concepts behind clustering, regression, and classification, unraveling their intricacies and practical applications. From understanding the principles to hands-on implementation, this event will equip you with the tools to tackle real-world problems with confidence.

But that's not all! In addition to exploring these core ML concepts, we'll also venture into the realm of user interface development using Streamlit, a powerful tool for creating interactive and intuitive applications. You'll learn how to seamlessly integrate your machine learning models into a user-friendly interface, making your projects accessible and engaging.

Whether you're interested in the theoretical underpinnings of ML algorithms or eager to create impactful applications, this ML Study Jams event offers something for everyone. Join us for an immersive learning experience and take your ML journey to new heights!

Speakers

  • Mohammed Uzair

    GDSC MCET

    AI & ML Lead

  • Gulam Mahmood Qureshi

    Methodist College of Engineering and Technology

    AI & ML Team Member

Partner

Streamlit logo

Streamlit

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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