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CloudyML

Job Interview Experiences

Data Science Interview Experience for the role of Data Scientist

1. Decorators in Python
– Live Example
2. Generators in Python
– Live Example

3. SQL Questions
3.1 Group by Top 2 Salaries for Employees
3.2 use Row num and Partition

4. Pandas find Numeric and Categorical Columns.
4.1 For Numeric columns, find the mean of the entire column and add that value to each row of the column.

5. What is Gradient Descent?
5.1 What is Learning Rate and Why is it reduce sometimes

6. Two Logistic Regression Models – Which one will you choose – One is trained on 70% and other on 80% data. Accuracy is almost same.
7. What is LogLoss ?

8. Explain your Projects end to end.(15-20mins)

Date: 15/06/21
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