This fulllength interview will show you what a data science interview is like. This is a great video for anyone currently in the jobmarket for a datafocused role. It is also a solid video for anyone who wants a better understanding of the machine learning process. They cover topics that include building a dataset for training/testing purposes, feature vectorization, and model implementation details. Consider pausing after the question and thinking about how you would answer them.

Interviewer: @KeithGalli
Interviewee: @KylieYYing

⭐ Contents ⭐
⌨ (0:00:00) Video overview & format
⌨ (0:02:13) Introductory Behavioral questions
⌨ (0:07:46) Social media platform bot issue task overview
⌨ (0:15:26) What are some features we should investigate regarding the bot issue?
⌨ (0:25:02) Classification model implementation details (using feature vectors)
⌨ (0:41:38) What would a dataset to train models to detect bots look like? How would you approach collecting this data?
⌨ (0:51:38) Technical implementation details (python libraries, cloud services, etc)
⌨ (0:56:01) Any questions for me?
⌨ (1:03:42) Postinterview breakdown & analysis

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