README
GP's University of Maryland Machine Learning Classes
Courses
This repository contains course materials, tutorials, and projects for two graduate-level courses taught at the University of Maryland:
- DATA605: Big Data Systems: scalable data engineering, distributed systems, and big data tools (data605/README.md)
- MSML610: Advanced Machine Learning: advanced ML techniques, research methods, and applied projects (msml610/README.md)
Class Projects
Course-specific project templates, guidelines, and student project resources are in the class_project/ directory. See:
- class_project/README.md: project overview
- class_project/tutorials_checklist.md: required learning materials
- class_project/how_to_contribute.md: contribution guidelines
Research Team Onboarding
New team members should open an issue "On-boarding <your_name>" to track progress through essential documentation:
- policies/: team policies and standards
- class_project/tutorials_checklist.md: required tutorials
- .claude/skills/tutorial_in_60_mins.rules.md: content format requirements
- class_project/how_to_contribute.md: contribution guidelines
Repository Structure
| Directory | Description |
|---|---|
data605/ | Lectures, tutorials, and materials for DATA605: Big Data Systems |
msml610/ | Lectures, tutorials, and materials for MSML610: Advanced Machine Learning |
class_project/ | Class project templates, examples, and student project guidelines |
tutorials/ | Standalone tutorials on ML and data engineering tools |
papers/ | Research papers and reading lists |
research/ | Research projects and experimental work |
helpers_root/ | Shared utility libraries and infrastructure |
Office Hours
- Email: gsaggese@umd.edu
- Reach out by email to schedule a meeting or ask questions
Similar repos
Languages
Jupyter Notebook
94.0%
Python
4.8%
README
GP's University of Maryland Machine Learning Classes
Courses
This repository contains course materials, tutorials, and projects for two graduate-level courses taught at the University of Maryland:
- DATA605: Big Data Systems: scalable data engineering, distributed systems, and big data tools (data605/README.md)
- MSML610: Advanced Machine Learning: advanced ML techniques, research methods, and applied projects (msml610/README.md)
Class Projects
Course-specific project templates, guidelines, and student project resources are in the class_project/ directory. See:
- class_project/README.md: project overview
- class_project/tutorials_checklist.md: required learning materials
- class_project/how_to_contribute.md: contribution guidelines
Research Team Onboarding
New team members should open an issue "On-boarding <your_name>" to track progress through essential documentation:
- policies/: team policies and standards
- class_project/tutorials_checklist.md: required tutorials
- .claude/skills/tutorial_in_60_mins.rules.md: content format requirements
- class_project/how_to_contribute.md: contribution guidelines
Repository Structure
| Directory | Description |
|---|---|
data605/ | Lectures, tutorials, and materials for DATA605: Big Data Systems |
msml610/ | Lectures, tutorials, and materials for MSML610: Advanced Machine Learning |
class_project/ | Class project templates, examples, and student project guidelines |
tutorials/ | Standalone tutorials on ML and data engineering tools |
papers/ | Research papers and reading lists |
research/ | Research projects and experimental work |
helpers_root/ | Shared utility libraries and infrastructure |
Office Hours
- Email: gsaggese@umd.edu
- Reach out by email to schedule a meeting or ask questions
Similar repos
Languages
Jupyter Notebook
94.0%
Python
4.8%