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JNTU B.Tech IV PREDICTIVE ANALYTICS Previous Question Paper (May - 2019 - R15)

B.Tech | IV | II | R15 | May - 2019

Answer PaperPaper Code: 128GMMaximum Marks: 75Time: 3 hours

Note: This question paper contains two parts A and B. Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B consists of 5 Units. Answer any one full question from each unit. Each question carries 10 marks and may have a, b, c as sub questions.

Part A

125 marks
a

Why Data Analytics is required?

2 marks

Answer

Data analytics is required to transform raw data into actionable insights, enabling organizations to make informed, evidence-based decisions, optimize operational efficiency, and identify new market opportunities.

b

Explain Briefly about Blue Property.

3 marks

Answer

In the context of the Gauss-Markov theorem, the BLUE property stands for Best Linear Unbiased Estimator. It signifies that among all linear unbiased estimators, the Ordinary Least Squares (OLS) estimator has the minimum variance, making it the most efficient estimator.

c

Define Supervised Learning.

2 marks

Answer

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d

Discuss about Model Theory.

3 marks

Answer

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e

What is meant by over fitting ?

2 marks

Answer

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f

Briefly discuss about Training and Development.

3 marks

Answer

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g

Define Arima Model.

2 marks

Answer

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h

What is meant by Prediction?

3 marks

Answer

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i

What is meant by Technical Report?

2 marks

Answer

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j

Write about Standard Operating Procedures for documentation.

3 marks

Answer

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Part B

2

Explain in detail about types of Data and Variables and various Data Modeling Techniques.

10 marks

Answer

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OR
3

Explain in detail about different Regression Concepts and Least Square Estimation method.

10 marks

Answer

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410 marks
a

Write in detail about Regression vs Segmentation.

5 marks

Answer

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b

Discuss about Analytics applications to various Business Domains.

5 marks

Answer

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OR
510 marks
a

Explain Classification and give suitable example.

5 marks

Answer

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b

Write about Multiple Decision Trees.

5 marks

Answer

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610 marks
a

Write the differences between Supervised vs Unsupervised Learning methods.

5 marks

Answer

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b

Write in detail about Pruning and Complexity.

5 marks

Answer

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OR
710 marks
a

Discuss in detail with suitable examples about Knowledge Skills and competences.

6 marks

Answer

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b

Explain about Record Keeping.

4 marks

Answer

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810 marks
a

Explain various Time Series Methods with examples.

5 marks

Answer

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b

Describe STL Approach.

5 marks

Answer

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OR
910 marks
a

Discuss about various Measures of Forecast Accuracies.

5 marks

Answer

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b

Explain about Feature Extraction.

5 marks

Answer

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1010 marks
a

Define Purpose and Scope of Documents.

5 marks

Answer

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b

Discuss briefly any one Case Study related to Understanding structure of Documents.

5 marks

Answer

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OR
11

Explain in detail about Intellectual Property and Copy Rights with suitable example.

10 marks

Answer

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About this paper

This page contains the question paper of PREDICTIVE ANALYTICS from JNTU for B.Tech IT IV II, May - 2019, R15.

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