How do I approach Machine Learning interview questions?

Machine Learning questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master machine learning interviews.

What difficulty level is this interview question?

This is a easy difficulty Machine Learning question, commonly asked during Technical Screen rounds at LinkedIn.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at LinkedIn during technical interviews.

Handle imbalance, sampling, and overfitting

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's proficiency in machine learning topics including handling class imbalance, selecting and interpreting evaluation metrics, verifying sample representativeness, preventing overfitting in tree-based models, and understanding why L1/L2 regularization introduces biased coefficient estimates.

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Handle imbalance, sampling, and overfitting

Feb 16, 2026, 7:49 AM

easyData ScientistTechnical ScreenMachine Learning

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