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Interview Preparation
Model development, evaluation, deployment, feature pipelines and MLOps.
Practice role-specific questions with concise answers and key points.
Answer: Overfitting occurs when a model learns training-specific patterns that do not generalize well to unseen data. Validation data, regularization, simpler models and better data can help.
Answer: Data leakage occurs when information unavailable at prediction time enters training or evaluation, producing unrealistically strong results. Prevent it by enforcing time and feature availability boundaries.