Practice Classification — Output Is A Category (2.2.4.2) - Chapter 2: Types of Machine Learning

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6 sample questions

Question 1.
What is classification in machine learning?
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Think about how emails can be sorted.
Question 2.
Name one advantage of using labeled data for training.
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Consider the outcome of labeled examples.
3Question 3.
What type of learning method is classification?
- Supervised
- Unsupervised
- Reinforcement
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Recall the type of learning that uses labels.
4Question 4.
True or False: KNN requires all data to be labeled.
- True
- False
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Think about how the model learns.
Question 5.
Create a classification model scenario for predicting future sales based on past data.
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Think about the factors that influence sales.
Question 6.
Discuss how you would handle an imbalanced dataset in classification.
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Consider ways to balance the classes.

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