6.1 - What is Supervised Learning?
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Practice Questions
Test your understanding with targeted questions
What is supervised learning?
💡 Hint: Think about how the model learns from examples.
What are input features?
💡 Hint: These are the things we provide to the model to make a prediction.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What defines supervised learning?
💡 Hint: Think about what the model needs to learn effectively.
True or False: In supervised learning, the model can make predictions without any input features.
💡 Hint: What do you need to provide for the model to learn?
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Challenge Problems
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Design a simple supervised learning model for predicting the number of sales based on advertising expenditure. Outline the steps you would take.
💡 Hint: Think about what inputs would serve as effective predictors for sales.
Explain why choosing a supervised learning model might not be effective in the case of predicting customer behavior in a new marketplace without historical data.
💡 Hint: Consider the role of past data in making predictions.
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