Practice Step 4: Model Building - 18.3.4 | 18. Data Science for Business and Decision- Making | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is supervised learning?

πŸ’‘ Hint: Think about how a teacher guides a student.

Question 2

Easy

Give one example of unsupervised learning.

πŸ’‘ Hint: It's about discovering groups in data.

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

Which method uses labeled data to train models?

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

πŸ’‘ Hint: Think about the definition of the learning types.

Question 2

True or False: Unsupervised learning requires labeled training data.

  • True
  • False

πŸ’‘ Hint: Reflect on the meaning of 'unsupervised'.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a supervised learning model for predicting loan defaults. What data would you collect, and what features would be most relevant?

πŸ’‘ Hint: Think about attributes that indicate financial reliability.

Question 2

Discuss how reinforcement learning can be implemented in a real-time bidding system for online advertising.

πŸ’‘ Hint: Consider how learning from user interactions can influence decisions.

Challenge and get performance evaluation