Practice Two Subtypes Of Supervised Learning (2.2.4) - Chapter 2: Types of Machine Learning

Practice: Two Subtypes of Supervised Learning

Lesson 2.2.4Types of Machine Learning

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10 questions

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6 sample questions

Question 1.
Define what regression is.
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Think about outputs that are numbers.
Question 2.
What is classification in machine learning?
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Think about grouping data into categories.
3Question 3.
What is the main goal of regression in supervised learning?
- Predict categories
- Predict numerical values
- Classify data
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Consider outputs of a continuous nature.
4Question 4.
Classification involves predicting which category an output belongs to.
- True
- False
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Think about dividing data into groups.
Question 5.
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.
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Consider how you would visualize the relationship between features and price.
Question 6.
Imagine a scenario where you have a model that classifies emails as spam or not. What features would you consider, and why?
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Think about what makes an email suspicious or legitimate.

6 more questions in this section. Enroll free to practise them all.