EP 2 : Mastering Classification: Unlocking the Power of Machine Learning 🚀

Kabale University New Computer Lab, Plot 364 Block 3 Kikungiri Hill, Kabale Municipality, Kabale, P.O Box 317,

GDG on Campus Kabale University - Kabale, Uganda

Unlock the power of classification in machine learning! This session will focus on how machines categorize data and make informed predictions. Gain insights into real-world applications and enhance your skills with hands-on practice.

Mar 26, 11:00 AM – 2:00 PM (UTC)

11 RSVP'd

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About this event

Join us for Episode 2 of the KabAI Series: From Basics to Mastery, where we explore the fascinating world of classification in machine learning! Classification is a key concept in AI that allows machines to categorize data and make informed predictions, enabling real-world applications like spam detection, fraud prevention, and medical diagnosis.

What to Expect:

✅ A clear understanding of classification and its importance in machine learning.

✅ Insights into how classification models are applied in real-world scenarios.

✅ Hands-on experience in building a spam email detection model.

✅ Interactive discussions and knowledge sharing with AI enthusiasts.

Who Should Attend?

This session is perfect for students, tech enthusiasts, and beginners who want to expand their knowledge of AI and ML. No prior experience is required—just curiosity and a willingness to learn!

📅 Date: Wednesday, 19th March 2025

⏰ Time: 2:00 PM - 5:00 PM

📍 Venue: New Computer Lab, Kabale University

Don’t miss this opportunity to level up your AI skills and connect with like-minded learners. See you there! 🚀

Partner

Kosher Foods logo

Kosher Foods

Organizers

  • Simon Peter Makobi

    CodeSpark Technologies

    Organizer

  • Ayakira Anitah

    Co-Organiser

  • Ivan Wasswa

    Technical Lead

  • chelangat Andrew

    Technical Co-lead

  • Cephas Nzaana

    Technical Lead:Mobile and Web Development

  • Doreen Tushabomwe

    Kabale University

    Women in Tech Lead

  • Simon Alex Atwiine

    Faculty Advisor

  • Deus Biryaharimukama

    Design Lead

  • Niwamanya Levi

    PR Lead

  • Eddie Ssebalamu

    PR Creative Lead

  • Kyomugisha Evelyne

    IT

    Google CrowdSource influencer

  • Musasizi Brian

    Kabale university

    Events Planner

  • Charles Kalanzi

    Year two Representative

  • Pleasure Ayesigwa

    Year One Representative

  • Aliho Gilbert

    Kabale University

    IndabaX AI Club Kab President

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