NPTEL Data Science for Engineers Assignment 8 Answers 2022

NPTEL Data Science for Engineers Assignment 8 Answers 2022:- All the Answers provided below to help the students as a reference, You must submit your assignment at your own knowledge.

What is Data Science for Engineers?

Data Science for Engineers is a fun-filled course where Domain Certification helps learners to gain expertise in a specific Area/Domain. This can be helpful for learners who wish to work in a particular area as part of their job or research or for those appearing for some competitive exam or becoming job-ready or specializing in an area of study.  

Every domain will comprise Core courses and Elective courses. Once a learner completes the requisite courses per the mentioned criteria, you will receive a Domain Certificate showcasing your scores and the domain of expertise.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of the average of best 6 assignments out of the total 8 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

COURSE NAME	ANSWER
NPTEL Data Science for Engineers Assignment 1 Answers	Click Here
NPTEL Data Science for Engineers Assignment 2 Answers	Click Here
NPTEL Data Science for Engineers Assignment 3 Answers	Click Here
NPTEL Data Science for Engineers Assignment 4 Answers	Click Here
NPTEL Data Science for Engineers Assignment 5 Answers	Click Here
NPTEL Data Science for Engineers Assignment 6 Answers	Click Here
NPTEL Data Science for Engineers Assignment 7 Answers	Click Here
NPTEL Data Science for Engineers Assignment 8 Answers	Click Here

NPTEL Data Science for Engineers Assignment 8 Answers 2022:-

Q1. The Euclidean distance between the two data points X(−5,5) and Y(10,10) is _________ (Rounded off to three decimal places)

a. 25.63 
b. 32.78 
c. 15.81 
d. 23.32

Answer:- c. 15.81 

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Q2. kNN is used for both function approximation and classification problems.

• True 
• False

Answer: a

Q3. According to the built model ,the within cluster sum of squares for each cluster is __________ (the order of values in each option could be different):-

• 8.316061 11.952463 16.212213 19.922437 
• 7.453059 12.158682 13.212213 21.158766 
• 8.316061 13.952463 15.212213 19.922437 
• None of the above

Answer: a

Q4. According to the built model, the size of each cluster is __________ (the order of values in each option could be different):-

• 13 13 7 14 
• 11 18 25 24 
• 8 13 16 13
• None of the above

Answer: c

Q5. The Between Cluster Sum-of-Squares (BCSS) value of the built K-means model is _________(Choose the appropriate range)

• 100 – 200 
• 200 – 300 
• 300 – 350 
• None of the above

Answer: a

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Q6. The Total Sum-of-Squares value of the built k-means model is _________ (Choose the appropriate range)

• 100 – 200 
• 200 – 300 
• 300 – 350 
• None of the above

Answer:- a

Q7. A k-Means Clustering model becomes better as

• we increase the within-cluster SS and decrease the between-cluster SS 
• we increase the within-cluster SS and increase the between-cluster SS
• we decrease the within-cluster SS and increase the between-cluster SS 
• none of the above

Answer: c

Q8. Larger K values in K-means clustering __________

• decrease the number of mis-classified samples and decrease overfitting risk 
• decrease the number of mis-classified samples but increase overfitting risk 
• increase the number of mis-classified samples but decrease overfitting risk 
• none of the above

Answer: b

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