Video overview & format

Introductory Behavioral questions

Social media platform bot issue task overview

What are some features we should investigate regarding the bot issue?

Classification model implementation details (using feature vectors)

What would a dataset to train models to detect bots look like? How would you approach collecting this data?

Technical implementation details (python libraries, cloud services, etc)

Any questions for me?

Post-interview breakdown & analysis

freeCodeCamp.org

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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Data Science Job Interview – Full Mock Interview

Data Science Job Interview – Full Mock Interview

Data Science Job Interview – Full Mock Interview

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