Practice Visualizing the Data - 6.4 | Chapter 6: Supervised Learning – Linear Regression | Machine Learning Basics
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a scatter plot?

💡 Hint: Think about the variables being plotted.

Question 2

Easy

Name a library used in Python for data visualization.

💡 Hint: Consider the plotting libraries available in Python.

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 type of plot is used to understand the relationship between two variables?

  • Pie Chart
  • Scatter Plot
  • Line Plot

💡 Hint: Consider visualizing two dimensions.

Question 2

True or False: Labeling axes is unnecessary in data visualization.

  • True
  • False

💡 Hint: Why do we need labels for axes?

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Using a dataset consisting of various years of experience and respective salaries, create a scatter plot and explain how the plot indicates the correlation between the two variables. Discuss any evident outliers.

💡 Hint: Reflect on the data's structure and verify against your assumptions for the model.

Question 2

If given a dataset where there's a nonlinear relationship between experience and salary, what visualization technique would you consider instead of a scatter plot? Justify your response.

💡 Hint: Rethink how data behaves when not following a linear trend.

Challenge and get performance evaluation