GDG on Campus Kabale University - Kabale, Uganda
We'll explore how to build machine learning models using the scikit-learn library, a popular Python toolkit for ML. We'll dive into model creation, training, and evaluation. Additionally, we will focus on strategies for developing sustainable and impactful final year projects, guiding students through the process of identifying practical problems and implementing data-driven solutions.
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Join us for Episode 4 of the KabAI Series, a special two-in-one session brought to you by GDG On Campus Kab and IndabaX AI Club Kab: "Building Machine Learning Models with Scikit-Learn => Crafting Final Year Projects."
In the first phase, "Building Machine Learning Models with Scikit-Learn," participants will get hands-on experience in creating machine learning models using Scikit-Learn, a versatile Python library. We'll cover essential steps like data preprocessing, training models, and evaluating their performance using popular algorithms such as linear regression, decision trees, and more.
In the second phase, "Crafting Final Year Projects," we'll focus on guiding students through the process of identifying real-world problems and developing impactful solutions. This part of the session will explore how to design projects that integrate machine learning effectively and ensure they are sustainable and relevant beyond graduation. Whether you're looking to refine your data science skills or plan an outstanding final year project, this session is designed to help you excel.
Date: Wednesday, 16th October 2024
Time: 2:00 PM - 5:00 PM
Venue: New Computer Lab, Kabale University
For more information, contact us at gdsckab@gmail.com or follow us on social media @gdsc_kab.
Sponsored by Kosher Foods and RenderSoft technologies
Wednesday, October 30, 2024
11:00 AM – 2:00 PM (UTC)
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