Machine Learning Course: A 15-Week Interactive Curriculum with Code and Case Studies

Authors

Pegah Khosravi, CUNY New York City College of TechnologyFollow

Document Type

Syllabus

Publication Date

5-11-2025

Abstract

This open-access machine learning course is a comprehensive 15-week curriculum developed and published on GitHub with full Google Colab compatibility. It combines theoretical concepts with hands-on Python coding, real-world datasets, and structured projects covering regression, classification, clustering, deep learning, transformers, and multimodal AI. The course is designed for students, educators, and researchers interested in applied machine learning, including biomedical applications. It includes explainable AI components and ethical discussions to align with modern AI standards. The course is maintained by BioMind AI Lab at CUNY.

Comments

You can access and run the full interactive course here: https://github.com/PKhosravi-CityTech/ML15AI-CUNY

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License