ML Fundamentals Assessment Questions

Assessment of foundational machine learning concepts and techniques, including supervised and unsupervised learning, common algorithms, evaluation metrics, bias-variance trade-offs, overfitting, feature engineering, and model selection. Used for screening ML knowledge in interviews, training, or onboarding within ML & AI contexts.