ID Major Avg. project score Avg. exam score Employed? Salary Computer 82 76 Yes 90,000 Engineering 84 94 Yes 75,000 3. Engineering 73 65 No Math 71 No Computer 92 75 Yes 95,000 For each of the following tasks, describe (briefly) what, if anything, you would need to do to the above dataset before using any learning algorithm to predict if someone will be employed following graduation. a) Data cleaning b) Data integration c) Data transformation d) Data reduction e) Data discretization

Fundamentals of Information Systems
8th Edition
ISBN:9781305082168
Author:Ralph Stair, George Reynolds
Publisher:Ralph Stair, George Reynolds
Chapter8: Systems Development
Section: Chapter Questions
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Computer Science

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Problem 1:
Major
Avg. project score
Avg. exam score
Employed?
Salary
ID
Computer
82
76
Yes
90,000
Engineering
84
94
Yes
75,000
3
Engineering
73
65
No
Math
71
No
Computer
92
75
Yes
95,000
For each of the following tasks, describe (briefly) what, if anything, you would need to do to the above
dataset before using any learning algorithm to predict if someone will be employed following
graduation.
a) Data cleaning
b) Data integration
c) Data transformation
d) Data reduction
e) Data discretization
Transcribed Image Text:Problem 1: Major Avg. project score Avg. exam score Employed? Salary ID Computer 82 76 Yes 90,000 Engineering 84 94 Yes 75,000 3 Engineering 73 65 No Math 71 No Computer 92 75 Yes 95,000 For each of the following tasks, describe (briefly) what, if anything, you would need to do to the above dataset before using any learning algorithm to predict if someone will be employed following graduation. a) Data cleaning b) Data integration c) Data transformation d) Data reduction e) Data discretization
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