Practice Data Exploration (7.3) - AI Project Cycle - CBSE 12 AI (Artificial Intelligence)

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10 questions

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4 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 Descriptive Statistics?
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Think about how we summarize our findings in numbers.
Question 2.
Name one tool used for data visualization.
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Consider popular Python libraries or business intelligence tools.
3Question 3.
What is the primary goal of Data Exploration?
- A) To build predictive models
- B) To analyze and visualize data
- C) To collect data
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Recall what we aim to achieve before moving into modeling.
4Question 4.
True or False: Outliers can enhance the quality of data analysis.
- True
- False
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Think about the effects of having extreme data points.
Question 5.
You have a dataset with missing values and extreme outliers. Describe the steps you would take to prepare this dataset for analysis.
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Consider methods of imputation and outlier detection strategies.
Question 6.
Explain how you would visualize a complex dataset with multiple features to ease understanding.
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Think about various visualization methods available for multi-dimensional datasets.

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