Practice Data Exploration (3.2.3) - Introduction to AI Project Cycle

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10 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is data cleaning?
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Think about what you would do if you found errors in your report.
Question 2.
Name one tool used for data visualization.
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Remember, we discussed popular tools in class.
3Question 3.
What is the first step in Data Exploration?
- Visualization
- Data Cleaning
- Feature Selection
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Think about what we discussed as the foundational process.
4Question 4.
True or False: Data visualization has no impact on pattern recognition.
- True
- False
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Recall how visuals can sometimes make complex data clearer.
Question 5.
If you were given a dataset where food waste fluctuated based on weather changes, explain how you would conduct Data Exploration and what specific visualizations you would create.
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Recall the visualizations we discussed in class.
Question 6.
Discuss how you would apply Data Cleaning principles to a dataset containing customer reviews with numerous typos and spams. What steps would you take?
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Consider the various cleaning techniques we previously learned.

6 more questions in this section. Enroll free to practise them all.