2024 - 2025
Machine Learning Honors
Machine Learning Honors is an elective class in the pathway, and is the only course of its kind offered in the area.
I really enjoyed collaborating with my peers on solving errors in the labs. I liked the fact that labs allowed me to practice the skills I learned in class, and allowed me to tackle new problems as well.
I really enjoyed doing projects in MLH because they analyzed real world data like housing prices, purchasing power based on salary and age, and energy efficiency. Our projects teach us important ML topics like regression and classification.
MLH repeats all the fun aspects with AP CSA, but now with an emphasis on machine learning. Even if you think CS or math isn't your cup of tea, this class is still appealing because most concepts should feel intuitive, and Python is easy to learn and understand. Plus, this course doesn't have that much homework, or need crazy in-depth knowledge about math, you just need to pay attention and think logically. Anyone can take this class and perform well in it.
I didn't even know how to code before this but Mr. Dagler opened my eyes.
- Gain an understanding of various ML models
- Use regression to model continuous data
- Predict discrete results using classification models
- Discover unknown patters with clustering models
- Additional topics include association rule learning, reinforcement learning, and natural language processing
Clay Dagler
CS & Robotics for Beginners | Exploring Computer Science | AP Computer Science A | Machine Learning Honors
As the head of the Computer Science pathway here at Franklin High, I hope to encourage my students to pursue a career in computer science. I started out teaching Math after graduating from the University of California, Davis, but slowly moved towards robotics and computer science, where I found engaged students learning more about mathematics. I've since worked as a CTE teacher with Franklin, finding any opportunities for my students to involve themselves with technology.