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Data Associate Interview Questions
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Machhine learning questions , Project realted flow, Materix
Questions related to the industry projects and a few case studies.
- End to end data science problem explanation. - Random forest, bagging and boosting - Difference between Having and Where - Importance of ROC curve - Type 1 and Type 2 error - Hypothesis testing, Confidence interval
What is R2 Score and how is it calculated? Can you write back propagation steps for RNN (BPTT)
Q1: Explain your past internship. Q2: Explain about your personal projects. Q3: Do you see yourself doing this job for at least 2-3 years. Q4: Questions regarding your resume.
Tell me about your final project.
What is the difference between List and Set?
Tell me a bit about yourself.
1. Basics of python Coding. 2. Basics of all the Machine Learning Models. 2. Basic SQL Queries. 3. Brief discussion on the projects you have worked on.
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