Practice Machine Learning (ML) - 1.2.2 | 1. Introduction to Advanced Data Science | Data Science Advance
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Machine Learning (ML)

1.2.2 - Machine Learning (ML)

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is supervised learning?

💡 Hint: Think about how labels help in teaching.

Question 2 Easy

Name a common algorithm used in supervised learning.

💡 Hint: It’s used to predict continuous outcomes.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What defines supervised learning?

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

💡 Hint: Focus on the meaning of 'supervised'.

Question 2

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

True
False

💡 Hint: Remember what clustering does.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Think about patterns in purchasing.

Challenge 2 Hard

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

💡 Hint: Consider underfitting vs overfitting.

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