GP's University of Maryland Machine Learning Classes

This repository contains course materials, tutorials, and projects for two graduate-level courses taught at the University of Maryland:

DATA605: Big Data Systems — covers scalable data engineering, distributed systems, and big data tools
MSML610: Advanced Machine Learning — covers advanced ML techniques, research methods, and applied projects

Prerequisites

Before you begin, make sure you have the following installed and configured:

Clone the repository:

> git clone git@github.com:gpsaggese/umd_classes.git
> cd umd_classes

Navigate to your course folder:
- For DATA605: cd data605/
- For MSML610: cd msml610/
Read the course-specific README for setup and assignment instructions.

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

See how_to_contribute.md for guidelines on submitting fixes, improvements, and new content.