all the basic interview questions like what is pca, xgboost, rf and differences between algorithms etc.
Data Science Summer Intern Interview Questions
3,790 data science summer intern interview questions shared by candidates
Can you explain Deep Learning to laymen? Can you explain the details of one of your projects?
Why I use specific approach while working on my ML project?
Tell me about yourself, why do you want to work a motorola
Was based on tools and techniques mentioned in CV.
Case Study : How would you present your case findings in terms of business information to the marketing team
One of the questions was When to use regularization?
- Introduction - Describe your projects - Why should we hire you? - What motivates you to do this job?
What a good Data Scientist should be?
What is hyper parameter tuning? What are some hyper parameter algorithms? Describe linear regression to a 10 year old. What are some ways to deal with an unbalanced data set? What are some name of loss functions and what do they do? What is mean squared error? Describe how a convolution neural network differs from an artificial neural networks. What are some applications LSTMs? Lots and lots of questions about the data science case written earlier.
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