Practice Data Preprocessing (7.6.3) - Statistics - CBSE 9 AI (Artificial Intelligence)

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9 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is data preprocessing?
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Consider the steps taken to prepare data.
Question 2.
List one benefit of data cleaning.
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Think about data quality.
3Question 3.
What is the primary purpose of data preprocessing?
- To make data smaller
- To enhance data quality
- To analyze data
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Think about how data quality affects results.
4Question 4.
True or False: Normalization is not necessary for machine learning models.
- True
- False
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Consider examples of features with different ranges.
Question 5.
A dataset contains numerous duplicates and missing values. Propose a strategy for cleaning it and the tools you might use.
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Consider the specific methods you can use in programming.
Question 6.
You have multiple features in varying scales in your dataset. Propose how you will apply normalization and discuss its impact.
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Think about the importance of equal representation in data.

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