Practice Machine Learning (ML) - 1.2.2 | 1. Introduction to Advanced Data Science | 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 labels help in teaching.

Question 2

Easy

Name a common algorithm used in supervised learning.

πŸ’‘ Hint: It’s used to predict continuous outcomes.

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 defines supervised learning?

  • Learning from unlabelled data
  • Learning from labeled data
  • Learning from non-structured data

πŸ’‘ Hint: Focus on the meaning of 'supervised'.

Question 2

True or False: Clustering is a type of supervised learning.

  • True
  • False

πŸ’‘ Hint: Remember what clustering does.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A company has a dataset of customer behaviors but no categories. Describe how you would apply unsupervised learning to gain insights.

πŸ’‘ Hint: Think about patterns in purchasing.

Question 2

Explain how changing one feature could impact the bias-variance trade-off of an existing predictive model.

πŸ’‘ Hint: Consider underfitting vs overfitting.

Challenge and get performance evaluation