Full Data Science Mock Interview! (featuring Kylie Ying)
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In this video we walk through a full-length data science interview. The task in the video is to develop a model to identify bots on a social media platform. In the video we cover topics including feature vectorization, one-hot encodings, dataset building, and more!
Check out Kylie's channel: @KylieYYing
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Video timeline!
0:00 - Video overview & format
3:38 - Introductory Behavioral questions | Data science interview
9:11 - Social media platform bot issue task overview | Data science interview
16:51 - What are some features we should investigate regarding the bot issue? | Data science interview
26:27 - Classification model implementation details (using feature vectors) | Data science interview
43:03 - What would a dataset to train models to detect bots look like? How would you approach collecting this data? | Data science interview
53:03 - Technical implementation details (python libraries, cloud services, etc) | Data science interview
57:26 - Any questions for me? | Data science interview
1:05:07 - Post-interview breakdown & analysis
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Watch video Full Data Science Mock Interview! (featuring Kylie Ying) online without registration, duration hours minute second in high quality. This video was added by user Keith Galli 09 January 2023, don't forget to share it with your friends and acquaintances, it has been viewed on our site 14,956 once and liked it 492 people.