1. Coding question.... Find the second largest number from the given list of numbers. ( We can do the coding in any interface we are comfortable in). 2. Explain about the Project that you have done. 3. Detailed Explanation about anyone Machine Learning Algorithm of your choice. ( Choose the one that you have clear understanding about because interviewer expects detailed explanation. 4. What are the steps involved while doing EDA? 5. What kind of correlation is used in EDA? 6. Few definitions in NLP like Lemmatizing, tokenizing and etc? ( Make sure you appear to the interview confidently and with a positive approach.) I hope this helps.

1. Difference between bagging and boosting. 2. Explain Random Forest. 3. How does Random Forest reduce the variance? 4. How does XG boost algorithm work? 5. What is a Support Vector Machine? 6. What are the types of kernels? 7. Difference between polynomial kernel and RBF Kernel? 8. Which is better? Count Vectorizer or TF-IDF? 9. What is word2vec? 10. Give an example of precision and recall. 11. Difference between linear regression and logistic regression? 12. How can you draw a best-fit line in linear regression? 13. What is multicolinearity?