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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!
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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
Thank you to mobile pixels for sponsoring this video!
3 июл 2024
