Walk us through a project. What statistical methods did you use? How did you do feature engineering? How did you decide which features to use? How would you handle a conflict?
Data Intern Interview Questions
7,484 data intern interview questions shared by candidates
How do you see yourself contributing in this internship.
talk about project on resume
all the basic interview questions like what is pca, xgboost, rf and differences between algorithms etc.
Can you explain Deep Learning to laymen? Can you explain the details of one of your projects?
Describe a challenging problem you faced in one of your data science projects and how you overcame it. Explain the difference between supervised and unsupervised learning, and provide an example of a real-world application for each. How do you handle missing data in your datasets? Can you name and describe at least two techniques? Describe a situation where you had to present complex data findings to a non-technical audience. How did you ensure they understood your findings?
Why I use specific approach while working on my ML project?
2- 5 basic math analytical questions
what do you want to gain from this internship? Why specifically this internship?
1. Introduce yourself and why you fit 2. Career path 3. Expect to learn 4. Obstacle in previous experience 5. Experience with ML 6. How important of GenAI
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