Problem solving: which ML model would you use to approach a problem, ML: rapid fire stats/ML questions, Coding in a jupyter notebook: plot the normal distribution
Data Science Analyst Interview Questions
10,883 data science analyst interview questions shared by candidates
p value, ml models, basic stats
list, string, and integer manipulations -- all basic but theoretical constraints imposed made them a bit tricky. How would you go about some ML prediction problem
Types of academic softwares that I'm familiar with
Talk through a tech brief (pre-sent to me some days in advance) for a data science approach to a business problem.
Scientific and academic background, professional questions, reason for applying for cooperation, plan for the future, my expectations from the workplace and type of work.
Questions on the specifics of the algorithms you implement/talk about.
Why did you choose Bell?
Qual a diferença de usar direct query e importar dados no Power BI
How would you handle a dataset which does not follow normal distribution
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