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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define what regression is.
💡 Hint: Think about outputs that are numbers.
Question 2
Easy
What is classification in machine learning?
💡 Hint: Think about grouping data into categories.
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 the main goal of regression in supervised learning?
- Predict categories
- Predict numerical values
- Classify data
💡 Hint: Consider outputs of a continuous nature.
Question 2
Classification involves predicting which category an output belongs to.
- True
- False
💡 Hint: Think about dividing data into groups.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are given a dataset containing features of various houses (area, number of bedrooms, location). How would you apply regression to predict house prices? Describe the steps involved.
💡 Hint: Consider how you would visualize the relationship between features and price.
Question 2
Imagine a scenario where you have a model that classifies emails as spam or not. What features would you consider, and why?
💡 Hint: Think about what makes an email suspicious or legitimate.
Challenge and get performance evaluation