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.
- What is ROC-AUC curve and how to interpret it?
- Explain Type I and Type II errors.
- What is Precision and Recall?
- What is F1 score?
- What is the difference between r-square and adjusted r-square values?
Machine Learning Frequently Asked Interview Questions and Answers Part 2
- How to deploy machine learning models as a microservice using fastapi
- A Step by Step Guide to Logistic Regression Model Building using Python | Machine learning
- A Complete Guide to K-Nearest Neighbors Algorithm – KNN using Python
- How Machine Learning changing the traditional ways of developing a mobile app