This question evaluates your understanding of handling imbalanced datasets, which is a common challenge in predictive modeling. Recruiters assess your knowledge of techniques like resampling, using appropriate evaluation metrics, and algorithm adjustments. Common pitfalls include failing to mention proper metrics like F1-score or ROC-AUC or relying solely on accuracy. A strong answer involves discussing multiple approaches to address imbalance and justify your choices based on the problem context.
How it works?
Start with your current resume, or create one from scratch with our AI resume builder.
Upload the job description, and our AI will tailor your resume to match the job’s key skills and qualifications.
Your ATS-friendly resume and application will be ready in seconds. Now apply with confidence!
We frequently write blogs that help our community with their career growth! Don't miss out!
Discord is where we give updates, offer member exclusive giveaways, and help each other grow on our careers.
