DS/CS-549 · Spark! Machine Learning Practicum

DS/CS-549 is the machine-learning practicum in the same Spark family as the software practicum. The work is applied from the start: messy data, real stakeholders, model choices that need justification, and results that have to be explained to people who do not live inside the model.

What students work on

Teams scope a real problem, prepare the data, build and evaluate models, and present the outcome in language that is technically honest and practically useful.

What the practicum emphasizes

• Problem framing before model selection
• Data preparation and feature work
• Evaluation, interpretation, and responsible ML
• Team process, stakeholder communication, and demos