1. Confusion Matrix 2. What is recall and precision? 3. Explain about ROC curve 4. Based on what RFE eliminate the features? 5. SQL question which requires grouping 6. How to read a dataframe, display top 5 rows, how to find summary statistics. 7. Probability question, rolling 3dice and find probability of getting all three even 8. Aptitude question, on percentage of poor group in a country.

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Interview questions for Senior Analyst Data Science

Confusion matrix is a table used to evaluate the performance of a classification model
Recall is the ratio of true positives to the sum of true positives and false negatives
Precision is the ratio of true positives to the sum of true positives and false positives
ROC curve is a graphical representation of the performance of a binary classifier
RFE eliminates features based on their importance to the model
SQL question may involve using GROUP BY clause
Dataframe can be read using pandas library in Python
Probability of getting all three even when rolling three dice is 1/8
Aptitude question may involve calculating percentage using total population and number of poor people

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