How to build a question answering system with no training data?
Data Scientist Interview Questions
40,238 data scientist interview questions shared by candidates
what are challenges you have faced
what is p-value; tell me about a past project.
Linear Regression Assumptions, Boosting and Bagging. Regularisation, Feature Selection Methods, Forecasting
Price optimization
Go through resume and many case study.
Explain the difference between type 1 and type 2 error.
Given a dataset which we cannot even see properly on hackerrank, build 2 ML models and answer insight related questions within 2 hours. It made no sense. The dataset was in raw form, had to be studied and converted into features and target, split for training/testing and report accuracy. This is not how a data science task can be completed.
Make sure to study recommendation engines, since this is the bread and butter of their work. They don't really have any interest in your work experience, like many tech interviews.
Lots of coding questions and data analysis tasks.
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