explain your projects and a 30 mins seminar.
Senior Data Scientist Interview Questions
3,397 senior data scientist interview questions shared by candidates
Data science questions, coding questions and presentation, and again data science questions.
1. Explain your project and 1 model you used.
Basic Machine Learning all algorithms at which case which algorithm should be used and clustering algorithms some basic knowledge on LLM . Many scenario based question : 1) How will you handle missing data in dataset for regression problems 2) Come up with scenario when to use un-supervised ML algorithms 3)Why LLM when to use LLM. 4)How to handle Bias and Variance. Topics: Regression, classification and clustering algorithms, bagging and boosting.
Tell me about a project that you worked on before
Code gradient descent from scratch.
Almost all questions were standard, I don't recall a difficult question.
explain bias vs variance what is overfitting project and resume discussed
How to get a subarray from an array in SQL.
About when to use a specific non parametric test
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