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Let's say you have a dataset of clients who bought or didn't buy a certain software. How would you make a prediction for future clients? What would be some things you'd want to include in this dataset?
Tags
Data Analyst
Marketer
General
Outline a structured approach to building a classification model, discussing feature selection, model choice, and evaluation metrics. Balance technical depth with business understanding.
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Hard Difficulty
Hard questions require advanced understanding and critical thinking. Here, your problem-solving skills are key, as these questions often involve complex scenarios needing in-depth analysis and well-structured responses.
ML Case question
ML Case questions present machine learning scenarios to assess your applied AI knowledge. Demonstrate your approach to framing problems, selecting appropriate models, evaluating performance, and deploying machine learning solutions effectively.