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In this video we walk through a fulllength 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, onehot 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 Postinterview breakdown & analysis

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