Advanced Python DataScience InterviewQuestions
1.What do you mean by overfitting a dataset?
2.What do you mean by underfitting a dataset?
3.What is the difference between a test set and a validation set?
4.Write a function for f1_score that takes True Positive, False Positive, True Negative, and False Negative as input and outputs f1_score.
5.Using sklearn library, how will you implement ridge regression?
6.Using sklearn library, how will you implement lasso regression?
7.How is correlation a better metric than covariance?
8.What are confounding factors?
9.What is the difference between append() and extend() functions in Python?
10.What is the use of enumerate() function?
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