Quiz: Project and Interview

5 questionsNo time limitPass: 60%+10 XP on first pass

Put everything together in one project — from question to a saved, reusable model and a one-paragraph recommendation — then revise the data science and machine learning questions asked in fresher interviews, with short answers.

Free account · see your score, answers and explanations, earn XP

Question 1
What is a random forest?
A single very deep decision treeMany decision trees whose votes are combinedA clustering algorithmA type of neural network
Question 2
Why save the whole Pipeline with joblib instead of only the model?
It's smallerSo new data gets exactly the same preprocessing (encoding) before predictionjoblib can't save models aloneTo retrain it automatically
Question 3
High bias usually means the model is…
Too simple and underfittingToo complex and overfittingPerfectly balancedLeaking data
Question 4
What should the final output of a data science project for a manager be?
The notebook codeThe confusion matrix onlyA clear recommendation with the key evidence and the limitsThe feature importances table
Question 5
What is the difference between merge and concat in pandas?
merge joins tables on key columns; concat stacks tables along rows or columnsThey are identicalconcat joins on keys; merge stacksmerge only works on numbers

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