Machine learning is a core aspect of data science interviews. This guide provides Python-based ML interview questions covering regression, classification, clustering, and deep learning. Learn how to implement models using scikit-learn, TensorFlow, and PyTorch, tune hyperparameters, and interpret evaluation metrics. By solving these questions, you'll be well-prepared for machine learning interview rounds in top tech companies.