AI 221 - Classical ML - Code Repository

Code Repository for AI 221, a graduate course at the A.I. Program, College of Engineering, University of the Philippines, Diliman.
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Updated 31 May 2023

AI 221: Classical Machine Learning

Welcome to the GitHub repository for my course: AI 221 Classical Machine Learning. This repository contains Python codes (Jupyter notebooks), MATLAB codes, datasets, and lecture slides used in class.

AI 221 is intended for 2nd term graduate students at the Artificial Intelligence Program at the College of Engineering, University of the Philippines, Diliman. Pre-requisite knowledge on linear algebra (AI 211), optimization theory, basic statistics, and calculus are required.

Usage

The repository is organized into folders based on the weekly topics covered in the class, as follows:

Contributing

If you find any issues or have any suggestions for improvement, feel free to contact me via kspilario@up.edu.ph. If any codes are not working on your terminal, let me know. :)

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Cite As

Karl Ezra Pilario (2024). AI 221 - Classical ML - Code Repository (https://github.com/kspilario/AI221/releases/tag/v1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Clustering_Anomaly_Detect

Ensemble_Learning

Gaussian_Process+BayesOpt

Kernel_Methods

Linear_DimReduce+LDA

Linear_and_Logistic_Regression

Nonlinear_DimReduce

Version Published Release Notes
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.