Practice Supervised vs Unsupervised Learning (in Context of Modelling) - 7.5 | 7. Modelling | CBSE Class 10th AI (Artificial Intelleigence)
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What type of data does supervised learning use?

💡 Hint: Think about whether the data has known answers.

Question 2

Easy

What is the main goal of unsupervised learning?

💡 Hint: It doesn’t involve labeled 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

What type of data is used in supervised learning?

  • Labeled Data
  • Unlabeled Data
  • Both

💡 Hint: Remember the term 'labeled' refers to data with known outcomes.

Question 2

True or False: Unsupervised learning can predict outcomes based on labeled data.

  • True
  • False

💡 Hint: Think about what defines 'unsupervised'.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a hybrid system that employs both supervised and unsupervised learning techniques to analyze student performance data. What algorithms would you utilize, and how might each contribute to the analysis?

💡 Hint: Think about the advantages of combining both labeled and unlabeled data insights.

Question 2

Develop a use case for unsupervised learning that assists in improving a retail store's layout based on customer movement data. What data would you collect and analyze?

💡 Hint: Focus on discovering patterns in how customers navigate the store.

Challenge and get performance evaluation