Building the future with machine learning
West Ranch Machine Learning is a student-led club exploring AI, data science, and real-world applications, with a specific focus on the technical and mathematical aspects of machine learning.
About
West Ranch Machine Learning brings together students curious about machine learning and artificial intelligence. In this club, you will learn what machine learning is, including core concepts such as data, training, and optimization; different types of models; and real-world applications of these models. A secondary goal is to promote AI education and literacy.
We meet regularly to collaborate, share knowledge, and build skills that matter in college and beyond.
What we do
Workshops
Learn Python, neural networks, and modern ML tools through peer-led sessions.
Projects
Apply machine learning to campus and community problems across different domains.
Competitions
Train models and compete in Kaggle, hackathons, and regional STEM challenges.
Meetings
Session notes and demos from club meetings.
Meeting 1 — Machine Learning: The Basics
How models learn patterns from data, make predictions, and show up in everyday tools.
Meeting 2 — How Machines Learn: Neural Networks, Training, and Better Predictions
Foundations of neural networks, how models improve through training, and pitfalls like overfitting and dataset bias.
Meeting 3 — Training a CNN on MNIST
Build and train a small convolutional network to classify handwritten digits.
Join
No prior experience required. Stop by a meeting and see what we’re building this semester.