Machine Learning Interview Questions and Answers | part 1

This post is part 1 in the series of frequently asked Machine Learning Interview Questions and Answers. Here, we will learn about the following frequently asked questions during Machine Learning Interviews.

  1. What is ROC-AUC curve and how to interpret it?
  2. Explain Type I and Type II errors.
  3. What is Precision and Recall?
  4. What is F1 score?
  5. What is the difference between r-square and adjusted r-square values?

Machine Learning Frequently Asked Interview Questions and Answers Part 2

Recommended Articles:

2 comments

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.