Practice Model Visualization (4.1.9) - Supervised Learning - Regression & Regularization (Weeks 3)
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Model Visualization

Practice - Model Visualization

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the purpose of a scatter plot in regression analysis?

💡 Hint: Think about how data points are represented graphically.

Question 2 Easy

Define what a residual is.

💡 Hint: Consider how you determine the accuracy of a model's predictions.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main benefit of model visualization?

To simplify data entry
To help us see predictions vs actual data
To store data effectively

💡 Hint: Think about the connection between predictions and actual outcomes.

Question 2

True or False: Residuals are useful in identifying patterns in model errors.

True
False

💡 Hint: Consider why analyzing errors is important.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset with known actual values and predicted values, create a scatter plot and overlay a linear regression line. Discuss the visual implications of the fit.

💡 Hint: Look for how far the points are from the line and any observable patterns.

Challenge 2 Hard

Analyze the effect of a polynomial regression line overlay on a scatter plot of data known to have a non-linear relationship.

💡 Hint: Consider how the curve’s flexibility reflects the data’s oscillations.

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Reference links

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