This full-length interview will show you what a data science interview is like.
This is a great video for anyone currently in the job-market for a data-focused 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) Post-interview breakdown & analysis
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Category : Interviews and Podcasts
