Time complexity of certain data structure operations. ML concepts. DSA. ML implementation.
Intern Data Scientist Interview Questions
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2)Parler de ses expériences de stage, projets 3) Idem 4)Question de data science
coding interview and then take-home tasks
They asked Introduction . thats it within 5 Mins interview over
Consider apps like ola zomato swiggy what common thing do they host on cloud platforms . 3- 4 puzzle question. And a coding question
trouver la pattern dans une séquence
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?
resume, coding problems(show you the code and ask you what's it about)，sql problems(ask you sql sentences' meanings), data science questions such as how to deal with data problems
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.
Présenter ma scolarité et mes expériences professionnelles (2 minutes)
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