Welcome to the first major release of the "AI 221 - Classical Machine Learning" code repository! This repository serves as a comprehensive resource for teaching and learning classical machine learning techniques, designed specifically for 2nd term A.I. Program graduate students at the College of Engineering, University of the Philippines - Diliman.
This repository contains a carefully curated collection of code examples, Jupyter notebooks, MATLAB scripts, and datasets for students to explore and experiment with various classical machine learning algorithms. Whether you're a graduate student new to the world of machine learning or an experienced practitioner looking to refresh your knowledge, this code repository is a valuable tool for your learning journey.
If you have any questions or concerns about the contents, feel free to contact me, Karl Ezra Pilario, via [email protected].
Note: This code repository is continuously evolving, and updates will be released periodically to incorporate new algorithms, datasets, and community contributions.