Data Collection & Pre-processing MCQs

Topic-wise practice questions for Artificial Intelligence & Machine Learning. Test your knowledge, check solutions on demand, and pace your preparation.

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Q1medium
If your dataset has a column "Price" ranging from 100 to 1,000,000, what issue might occur if you don't scale it?
Q2medium
You are applying Min-Max Scaling to a value of 25. The minimum value in the column is 0, and the maximum is 50. What is the scaled value?
Q3easy
What is Data Discretization (Binning)?
Q4medium
An outlier (a value of 1,000,000 in a dataset where the average is 10) is skewing the Mean. What is a robust way to "cap" this value without removing the row?
Q5medium
Why is Label Encoding (e.g., Male=1, Female=2) problematic for linear algorithms like Linear Regression?
Q6easy
What is the objective of Feature Selection?
Q7easy
What is the primary purpose of Data Imputation?
Q8easy
What is the main difference between Standardization (Z-Score) and Min-Max Scaling?
Q9easy
What does the following code snippet perform?
Q10easy
What does df.drop_duplicates() do in Pandas?