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What is your opinion on our current data process?
What is your favorite use case for machine learning models?
Is rotation necessary in PCA?
What happens if the components are not rotated in PCA?
Explain why Navie Bayes is so Naive?
How Recall and True positive rate are related?
Assume that you are working on a data set, explain how would you select important variables?
How to handle missing data in a dataset in Machine Learning?
What do you mean by Overfitting? How to avoid this?
What do you mean by Inductive Logic Programming (ILP)?
Difference between Classification and Regression?
What Are The Steps Involved In Machine Learning Project?
Why do we need a validation set and test set? What is the difference between them?
What is stratified cross-validation and when should we use it?
Why do ensembles typically have higher scores than individual models?
