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A collection of common data science questions and their answers.
Practice these questions and get feedbacks! It will help you improve your answer.
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1. What is the purpose of regularization in machine learning?
2. What are the benefits of using big data technologies?
3. What are some common data science programming languages?
4. What are the key steps in a data science project?
5. What are some important data science metrics?
6. What is the difference between supervised and unsupervised learning?
7. What is the difference between a hypothesis test and a confidence interval?
8. What is the difference between a decision tree and a random forest?
9. What are the ethical considerations in data science?
10. What is the role of cross-validation in model evaluation?