A comprehensive Machine Learning interview preparation guide with curated questions, answers, explanations and practical tips covering core concepts like supervised & unsupervised learning, algorithms, evaluation metrics, feature engineering, model selection, deep learning basics and real‑world scenarios — designed to help you confidently prepare for technical interviews in ML roles.

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