Business Case Study With ML Recommendation

Summary

A project framed entirely around a business decision, not just model accuracy — the problem, the ML approach, the results, and a specific, actionable recommendation for what to do next.

• 1Pick a business scenario and frame the ML problem explicitly around the decision it informs.
• 2Include a cost-benefit view: what does a false positive or false negative actually cost?
• 3End with a specific recommendation, not just a model performance summary.