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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary goal of model building in data science?
💡 Hint: Think about why we use data to make predictions.
Question 2
Easy
Name one type of machine learning algorithm used in model building.
💡 Hint: Consider common algorithms discussed in class.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does model building primarily involve?
- Collecting data
- Building algorithms
- Creating predictive models
- Deploying models
💡 Hint: Focus on what this phase is known for.
Question 2
Machine learning algorithms are used for what purpose?
- True
- False
💡 Hint: Think about what algorithms do in data science.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
💡 Hint: Think about the lifecycle steps we've discussed.
Question 2
Discuss how you would address the problem of overfitting in a predictive model you built. What strategies could you implement?
💡 Hint: Consider ways to balance complexity and performance.
Challenge and get performance evaluation