all the basic interview questions like what is pca, xgboost, rf and differences between algorithms etc.
Data Intern Interview Questions
7,489 data intern interview questions shared by candidates
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
Tell me about yourself, why do you want to work a motorola
Was based on tools and techniques mentioned in CV.
The interview focused on Excel, including data cleaning, formulas, and analysis techniques.
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