Monday 11 May 2020

AsCEnD Machine Learning

Machine Learning Assessment


Q1. 100 articles need to divide based on content like sports, Business Entertainment Which ML Model is

Answer: Clustering

Q2. Target Variable also called as in Machine Learning?


Answer: All are correct

Q3. How do you handle missing or corrupted data in a dataset?

Answer: Replace missing values with mean/median/mode

Q4. Identify which of the following is/are preprocessing steps?

Answer: All are correct

Q5. Which of the following is Machine Learning Type?

Answer: Both

Q6. Which of the following approach is supervised Learning?

Answer: All Are Correct

Q7. Clustering approach is example for which type of learning?

Answer: Unsupervised Learning

Q8. A feature G1 can take certain value A, B, C, D, E & F and represents grade of students from a University Which of the following statement is true in following case?

Answer: Feature G1 is an example of ordinal variable

Q9. Please identify what is the purpose of below code?
>>>from sklearn.preprocessing import Imputer >>>imp = Imputer(missing values=0, strategy='mean', axis=0) >>>imp fit_transform(X_train)

Answer: Code replacing Missing values in dataset with Mean

Q10. Which of the following is a good test dataset characteristic?

Answer: All Are Correct

Q11. What is the input to the Machine Learning Model?

Answer: Data and Output

Q12. What is the purpose of performing cross-validation 2

Answer: All Are Connected

Q13. Machine Learning is subset of?

Answer: Artificial Intelligence

Q14. What is Machine Learning?

Answer: All are correct

Q15. Identify Outlier in below data?
5,7,10,13,15,18,99,9,8.

Answer: 99

2 comments:

  1. Can you please share the questions that were given on 19th Feb's Machine Learning Hackathon?

    ReplyDelete
  2. these are not the questions in assignment.

    ReplyDelete