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6. Bar Chart widget helps to visualize the relationship between two variables.
7. Logistic Regression widget is used to construct a logistic regression model in Orange.
8. The Transform category in Orange Data Mining tool contains widgets used to explore the
datasets and perform various operations on it.

D. Very short answer type questions.
1. Which Python package is fundamental for scientific computing?

2. What are the two main structures in Pandas?
3. What types of graphs can be drawn using Matplotlib for data visualization?
3. What does the pd.read_csv() function in Pandas do?
4. What is the mode in statistics?

5. What is the difference between High Code AI and Low Code AI?
6. What is the role of the "Data Table" widget in Orange Data Mining?

E. Short answer type questions.
1. Which Python package is crucial for data manipulation and analysis?
2. What are the main structures in Pandas for handling data?
3. Why is data visualization important in the AI project life cycle?

4. What types of tasks can be accomplished with no-code AI tools?
5. Can no-code AI tools be used for advanced projects? Justify.
6. Do no-code AI tools require prior programming knowledge? Justify.

7. Differentiate low code and No-code AI tools with examples.
F. Long answer type questions.
1. As the CEO of a small e-commerce startup, you're eager to leverage artificial intelligence to enhance your
platform's user experience and drive sales. However, your team lacks the technical expertise to develop
and deploy AI-powered solutions. What would be your recommendations for the CEO?
2. How would you create visualizations in Orange for a price prediction dataset. Also, outline the widgets
you would use and the configurations you would apply.

3. What is the need of No code AI approach? Explain in brief.
4. Explain the key features of Orange data mining tool in detail.
5. Write a short note on:

(a) Statistical Sampling (b) Descriptive Statistics.
G. Assertion and Reason-based questions.
In the following questions, a statement of Assertion (A) is followed by a statement of Reason (R). Study both
the statements and give the answer as:
(a) if both Assertion and Reason are correct and Reason is the correct explanation of Assertion.

(b) if both Assertion and Reason are correct but Reason is not the correct explanation of Assertion.
(c) if Assertion is True but Reason is False.

(d) if Assertion is False but Reason is True.

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