Q1. What does ML stand for in computer science?
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Q2. Which type of learning uses labeled data?
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Q3. Which learning method groups data without predefined labels?
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Q4. Which algorithm is commonly used for classification problems?
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Q5. Which algorithm is commonly used for clustering?
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Q6. Which evaluation metric is commonly used for classification models?
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Q7. Which ML algorithm is inspired by the human brain?
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Q8. Which is an example of supervised learning?
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Q9. Which technique reduces the number of input features?
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Q10. Which of the following is a regression algorithm?
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Q11. What does overfitting mean in ML?
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Q12. Which method helps to reduce overfitting?
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Q13. Which type of learning is used in game playing by agents?
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Q14. What is the purpose of a confusion matrix?
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Q15. Which library is widely used for ML in Python?
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Q16. Which algorithm is known as lazy learner?
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Q17. Which ML model is called an ensemble method?
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Q18. Which activation function is commonly used in deep learning?
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Q19. Which term refers to dividing data into training and testing sets?
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Q20. Which metric is suitable for regression evaluation?
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