Machine Learning Foundations
OCG ML Prototype Lab
Build a machine-learning product from problem to prototype.
Four independent sandboxes. Each one keeps its own problem, dataset, model, tests, and feedback — nothing in one sandbox affects another.
- Define→
- Data→
- Train→
- Test→
- Improve→
- Retrain→
- Product→
- Human Decision→
- Feedback
Instructor Sandbox
Campus Question Router
Follow the same ML lifecycle the teams will use.
Progress: Not Started
Need an idea?
Inspiration only — picking one suggests a problem structure. Your team still builds the dataset, trains the model, and tests it.
- Campus Question Router — Classification
- Used Car Price Estimator — Regression
- Campus Event Recommender — Grouping
- Unusual Transaction Detector — Anomaly Detection