Machine Learning Interview Questions asked 90% of the time | Check the Description Perfect eLearning
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Top 10 Machine Learning Interview Questions and Answers (2023)
1. Explain the linear regression model and discuss its assumption.
2. Describe the motivation behind random forests and mention two reasons why they are better than individual decision trees.
3. What are the differences and similarities between gradient boosting and random forest? And what are the advantages and disadvantages of each when compared to each other?
4. Briefly explain the K-Means clustering and how can we find the best value of K.
5. What is dimensionality reduction? Can you discuss one method of it?
6. What are L1 and L2 regularizations? What are the differences between the two?
7. What is the difference between overfitting and underfitting, and how can you avoid them?
8. What are the bias and variance in a machine learning model and explain the bias-variance trade-off?
9. Define precision, recall, and F1 and discuss the trade-off between them.
10. Mention three ways to handle missing or corrupted data in a dataset.
Bonus Question:
Discuss how to make your model robust to outliers.
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