What R packages do you use?
Intern Data Scientist Interview Questions
936 intern data scientist interview questions shared by candidates
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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?
Présenter ma scolarité et mes expériences professionnelles (2 minutes)
Probability theory, game theory, logic math
If there’s a new virus in France and 1% of the population are infected with it, what’s the probability of having at least one person in New York who has this new virus tomorrow? Assuming this virus only exists today in France.
Working under pressure experiences, if I mind to work 10h a day sometimes...
Case questions from their past client projects Theoretical questions like bias vs variance
Statistical analysis of some data
What are your future ambitions?
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