Is Python enough for machine learning?
What are the topics in machine learning?
Which do you think is more important: model accuracy or model performance?
Explain the difference between L1 and L2 regularization?
Why do we need a validation set and test set? What is the difference between them?
What is root cause analysis?
What is the convex hull?
What is keras sequential model?
What is the use of naive bayes?
What do you think of our current data process?
Pick an algorithm and write a Pseudocode for the same?
What is a checkpoint in machine learning?
Explain the importance of bayes theorem?
How is ML different from artificial intelligence?
What is calibration in machine learning?