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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define regression in your own words.
💡 Hint: Think about how you would explain it to someone unfamiliar with statistics.
Question 2
Easy
Give an example of where regression might be used.
💡 Hint: Consider daily activities where you make predictions based on available information.
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 is regression used for in machine learning?
- To predict discrete categories
- To predict continuous values
- To cluster data
💡 Hint: Consider what kind of outcomes you are trying to predict with regression.
Question 2
True or False: Regression can be used to categorize data into groups.
- True
- False
💡 Hint: Think about the difference between predicting a score versus assigning a label.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A dataset contains information on car prices based on features such as brand, mileage, and age. You are tasked with predicting the price of a new model. Discuss how you would approach building a regression model for this dataset.
💡 Hint: Consider variables that might influence car prices the most.
Question 2
Classify the following scenarios as regression or classification: a) predicting the height of a child based on their age, b) determining if an email is spam or not.
💡 Hint: Think about whether the outcome is a number or a category.
Challenge and get performance evaluation