Your question is Define Data Science and ML. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
What is data science and machine learning?
Explain the distinction between data science as a broader discipline and machine learning as a set of methods within it. Give a practical example of a supervised learning workflow, including data preparation, model selection, training, validation, and evaluation. Mention one important limitation or risk, such as overfitting, data leakage, bias, or poor-quality data.