Practice Model Building (12.3.5) - Introduction to Data Science - CBSE 10 AI (Artificial Intelleigence)

Practice: Model Building

Lesson 12.3.5Introduction to Data Science

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10 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is the primary goal of model building in data science?
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Think about why we use data to make predictions.
Question 2.
Name one type of machine learning algorithm used in model building.
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Consider common algorithms discussed in class.
3Question 3.
What does model building primarily involve?
- Collecting data
- Building algorithms
- Creating predictive models
- Deploying models
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Focus on what this phase is known for.
4Question 4.
Machine learning algorithms are used for what purpose?
- True
- False
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Think about what algorithms do in data science.
Question 5.
A company is facing declining sales and hires you as a data scientist. Describe how you would approach model building to forecast future sales. Include details on data preparation, algorithm selection, and evaluation metrics.
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Think about the lifecycle steps we've discussed.
Question 6.
Discuss how you would address the problem of overfitting in a predictive model you built. What strategies could you implement?
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Consider ways to balance complexity and performance.

6 more questions in this section. Enroll free to practise them all.