1. Explain the project End - End, from scratch to Model Building and selection? 2. Explain the Statistical Pre-Processing techniques you used in your project and explain each one of them. 3. Explain Confusion Matrix 4. Explain Type 1 and Type 2 Errors 5. How did you increase the ROI with your model.
Explain how lightgbm works? (Intution)
All cases were market sizing for drugs.
Projects that i did related to data science
Asked pretty standard question on DS and SQL in round-1 and Deep Learning based in the round-2
Explain your resume projects and may ask you a question on pandas or numpy
Why do you need this position
Why choose us over other companies?
why did you get bad grades at first of graduate university and how did you improve the final GPA better
Please conduct a 15-minute teaching demo based on provided teaching materials.
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