What is data set in ml?
Why is python so popular in machine learning?
What do you understand by selection bias?
What is the difference between supervised and unsupervised learning?
Why naive bayes is called naive?
How is ML different from artificial intelligence?
Explain false negative, false positive, true negative and true positive with a simple example?
Is macbook good for machine learning?
How will you choose the most appropriate machine learning algorithm for your classification problem?
How does a classifier work?
Tell me what is a recommendation system?
What are the three stages to build the hypotheses or model in machine learning?
What is data augmentation? Can you give some examples?
What sentiment analysis?
Do you have research experience in machine learning?