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Data Science Interview
Preparation
Q. Please introduce your self
Q. You have mentioned in your Resume that you have done a project on “Machine Learning based
Prediction Model” can u explain the briefly how steps that you have undertaken for this project.
Q. Please explain in detail any challenge that you faced in while working on the project.
Q. You mentioned your project as Machine Learning Prediction Model, Can you explain
the business problem and the scope of the work?
Q. How did you elaborate on the data collection process?
Q. Can you speak about the data location and access pertaining to a project?
Q. What is the longitudinal and time series data?
Q. What are the various names of Data preprocessing?
Q. Where there duplicates in your data? What did you do about? Follow up
question: why is the existence of duplicates a problem?
Q. Explain about outliers and why it is a troublemaker, and what did you do to
address the outliers in your project?
Q. Can you explain about missingness in your data and why it was there?
Explain about the types of missing?
Q. What does Binning mean and did you use it in your project?
Q. Encoding - when do you use Encoding and what all types of encoding
techniques did you work on?
Q. When will Ttransformations be used?
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