jkk 1. What is linear regression? Explain steps for modelling 2. What do you mean by R square and adjusted R square? 3. What is logistic regression? Explain steps for modelling 4. Forecasting methods like time series, ARIMA etc. 5. Basics of Tableau 6. Basic SQL queries 7. libraries of python and basic coding skills (hardly any questions related to this are asked) 8. Any analytics projects you have worked on or competitions you have participated in?
Data Science Intern Interview Questions
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Q: Describe the color "white" to a blind person
How would you manage your work-life balance in this role?
probability, distributions, normalization, models, coding
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(R2) Discussion on linear regression, l1/l2 loss, overfitting, weight distribution.
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