What is the F1 score?
How is F1 score is used?
How can you ensure that you are not overfitting with a particular model?
Pick an algorithm and write a Pseudocode for the same?
What is the difference between an array and Linked list in Machine learning?
Mention any one of the data visualization tools that you are familiar with?
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?