Q : tell me about your project the goal and the output
Data Science Intern Interview Questions
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Not much coding but talk about models/data
Explain different regression methods, explain gini coefficient, explain different loss functions and compare them etc
Questions were based on my resume only
They asked about basic ML concepts/models, quizzing you to explain. There is also some research probe problem as well.
How does a Neural Network work
Which of the following is not supervised learning? PCA Naive Bayesian Linear Regression Decision Tree
A lot of questions about statistics, some were general questions about math behind some of the most well-knows ML models. I answered quite poorly on statistical questions and got fairly rejected
HR call: commonly seen behaviora qiestions Virtual onsite: case studies
- How do the decorators work in Python?
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