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

18.3.4 - Step 4: Model Building

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is supervised learning?

💡 Hint: Think about how a teacher guides a student.

Question 2 Easy

Give one example of unsupervised learning.

💡 Hint: It's about discovering groups in data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Which method uses labeled data to train models?

Supervised Learning
Unsupervised Learning
Reinforcement Learning

💡 Hint: Think about the definition of the learning types.

Question 2

True or False: Unsupervised learning requires labeled training data.

True
False

💡 Hint: Reflect on the meaning of 'unsupervised'.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Think about attributes that indicate financial reliability.

Challenge 2 Hard

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

💡 Hint: Consider how learning from user interactions can influence decisions.

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