Multi-task Regression

Problem Overview

Given a real dataset, implement an end-to-end ML solution for two regression tasks simultaneously. Key challenge: one task has negative label values and the other has positive label values, with the ranges of the two labels differing significantly. Candidates must handle sign-flipping and normalization appropriately…

• 2 candidate-reported follow-ups — the exact probes interviewers asked, with the trigger for each
• The rest of the problem statement — full requirements, constraints, and edge cases
• Approach and trade-offs — what passing candidates did, and the mistakes that sink people