Data Science Intern 1) Tell me about yourself. 2) What are you looking to learn in an internship? 3) Explain how the random forest algorithm works. 4) Explain how K-Means Clustering works from a technical perspective. 5) Explain these algorithms to someone who may not have a technical background. 6) Compare random forest to logistic regression. 7) Why might you want to use hierarchical clustering on a dataset? 8) Why might you want to use K-Means on a dataset? 9) What is your experience with the randomization of cluster centroids and how do you try to control it? 10) How do you explain these changing cluster centroids?
Data Science Consultant Interview Questions
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