1. How would you deploy it on the cloud as well as on-premise?
2. As a data scientist, what unique contributions can you bring to the company?
3. 1.Explain why Decorators are used, why not functions can we be modified ? 2.Logistic Regression has regression in it's name, then how come it is a Classification and not regression? 3.explain Random Forest like you are explaining to 10 years old kid. 4.how will you treat the null values and how to tackle the outliers in data? 5.Database question what is DML,DDL and what is auto-commit
4. What Google technologies are you familiar with?
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