Python  Programming for Data Mining MCQs (Pandas, NumPy, Scikit-Learn)

By: Prof. Dr. Fazal Rehman | Last updated: May 14, 2025

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1. : Which function in Pandas is used to read a CSV file?



2. : How do you check the first few rows of a DataFrame df in Pandas?



3. : Which method is used to remove missing values from a DataFrame?



4. : How do you create a new column in a Pandas DataFrame?



5. : What is the function to concatenate two DataFrames along rows?



6. : Which function is used to create an array in NumPy?



7. : How do you create an array of zeros with shape (3, 4) in NumPy?



8. : Which function returns the mean of an array?



9. : How do you find the shape of a NumPy array arr?



10. : Which method would you use to stack arrays vertically in NumPy?



11. : Which module in Scikit-Learn is used for classification algorithms?



12. : How do you split a dataset into training and testing sets in Scikit-Learn?



13. : What is the main purpose of the StandardScaler in Scikit-Learn?



14. : Which class is used to perform linear regression in Scikit-Learn?



15. : What is the fit method used for in Scikit-Learn?



16. : Which library is commonly used for data manipulation and analysis in Python?



17. : Which of the following is used for numerical computations in Python?



18. : What does the function pd.merge(df1, df2, on=’key’) do?



19. : Which Scikit-Learn function is used to perform k-means clustering?



20. : How do you calculate the correlation matrix of a DataFrame df in Pandas?



 

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