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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a heatmap used for?
π‘ Hint: Think about how colors can show differences in data values.
Question 2
Easy
Name one tool you can use to create heatmaps.
π‘ Hint: Consider popular Python data visualization libraries.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of a heatmap?
π‘ Hint: Think about what type of insights heatmaps provide.
Question 2
True or False: Seaborn is a Python library exclusively for web-based visualizations.
π‘ Hint: Consider where Seaborn's primary applications are found.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset with at least ten features, create a heatmap using Seaborn to visualize correlations and interpret at least three insights from it.
π‘ Hint: Look for color intensity; darker colors indicate stronger correlations.
Question 2
How might you utilize heatmaps to improve feature selection while building a predictive model? Provide a structured approach.
π‘ Hint: Consider which features add value versus those that overlap significantly.
Challenge and get performance evaluation