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, 2025, 11:00 AM – 2:00 PM (UTC)

11 RSVP'd

Key themes

AIWorkshop / hands-on session

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

  • Ainemukama John Rockey

    GDG Lead

  • Amutuhaire Tracy

    Co-Lead

  • Muhereza Alouzious

    Technical Lead

    Technical-Lead

  • Rabecca Nanshemeza

    Women in Tech.

  • Rennitah Aikiriza

    Year 1 Representative

  • Edrine Rukundo

    Media-Lead

  • Cosmas Kadduma

    Otuuse Transport Services

    Community-Lead

  • ahumuza John Baptist

    Events-Lead

  • Barnabas Mwebembezi

    Year-1-Representative

  • Simon Alex Atwiine

    Faculty Advisor

  • ssemwanga akram

    manager

  • Simon Peter Makobi

    ANTS UGANDA

    Team member