SAMPLE PROJECT / Data Science

Build a smarter recommendation.

Create a recommendation model with a public dataset, compare it with a simple baseline, and explain the results.

PythonScikit-learn

MODEL / WORKBENCHEXAMPLE 02

ITEM A

ITEM B

ITEM C

COMPARE SIMILARITY

Evaluate the recommendation

BASELINE → EXPERIMENT → EVALUATION

FROM BRIEF TO BUILD

A problem. A process. Your work.

Choose a public dataset and read its licence.

Create a simple baseline and split the data.

Train and compare your recommendation model.

Present results, limitations, and next steps.