Level Up Your Machine Learning: Choosing the Right Model for Beginners

Masinde Muliro University of Science and Technology, Kakamega, Kakamega, 50100

Unleash the power of machine learning! This beginner-friendly session guides you through the crucial step of choosing the right model for your project.

Feb 29, 1:00 – 2:30 PM



Key Themes

Career DevelopmentExplore MLGoogle WorkspaceML Study JamMachine Learning

About this event

Join us for an interactive workshop designed to introduce you to the exciting world of machine learning! This one-hour session focuses on a crucial aspect for beginners: choosing the right model for your project.

Even if you're new to machine learning, this workshop will equip you with the foundational knowledge you need to make informed decisions. We'll delve into:

The different types of machine learning tasks: classification, regression, and clustering.

Exploring your data: Understanding its size, format, and potential issues.

Demystifying different models: Learn about decision trees, K-Nearest Neighbors, support vector machines, linear regression, and more, along with their strengths and weaknesses.

Hands-on activity: Apply your newfound knowledge by choosing a suitable model for a simple dataset.

Whether you're a curious learner or an aspiring data scientist, this workshop provides a solid foundation to jumpstart your machine learning journey.

Don't miss this opportunity to:

Gain valuable insights into model selection, a critical step in machine learning.

Explore different models and learn how they work.

Get started with your own machine learning projects.

Join us for an engaging and informative session!



Thursday, February 29, 2024
1:00 PM – 2:30 PM UTC


  • Valencia Neema

    Public Relations


  • Vivianne Mogeni

    GDSC Lead

  • Sarah Santa


  • Moses Muiru

    Social Media

  • nick eagle

    nick eagle

    Media & Creatives

  • Valencia Neema

    Public Relations

  • Sebbie Evayo


    Club Secretary

  • Phoebe Christine


  • valarine cherono


Contact Us