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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data exploration?
💡 Hint: Consider why we examine data before modeling.
Question 2
Easy
Why is detecting outliers important?
💡 Hint: Think about how they could influence predictions.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Why is it important to detect outliers in data exploration?
💡 Hint: Think about how they affect averages.
Question 2
Is analyzing feature relationships essential in data exploration?
💡 Hint: Think about what features you'd include in your model.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset showing daily temperatures, identify any outliers. What implications could they have on your understanding of climate patterns?
💡 Hint: Look for unusually high or low numbers compared to average temperatures.
Question 2
You have a dataset with client purchase history. How would you determine the relationships between product categories? Elaborate on potential methods.
💡 Hint: Think about how changes in one category might affect another.
Challenge and get performance evaluation