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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define continuous and discrete numerical data.
π‘ Hint: Think about measuring vs counting.
Question 2
Easy
What is nominal data? Give an example.
π‘ Hint: Consider categories without ranks.
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 kind of data can be counted as discrete?
π‘ Hint: Think about counting distinct items.
Question 2
True or False: Categorical data can always be ordered.
π‘ Hint: Remember the definition of nominal data.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
You have a dataset with age, income, and favorite color. Explain how you would process this dataset before applying a machine learning model.
π‘ Hint: Consider all preprocessing steps mentioned.
Question 2
Given a dataset where 40% is missing in a feature, what should be your approach, and why?
π‘ Hint: Think of the importance of the feature in relation to other variables.
Challenge and get performance evaluation