Machine learning is a core component of any data science role. Interviewers often ask questions such as “What’s the difference between Bagging and Boosting?” or “Explain gradient descent.” These questions test your theoretical understanding and practical application. Be prepared to describe use cases, algorithm limitations, and performance metrics. Practice explaining complex ML conce... https://www.scholarhat.com/tutorial/datascience/data-science-interview-questions-and-answers