Overview
This course provides a full mock data science job interview experience, offering insights into the data science interview process and the machine learning workflow. The course covers topics such as building datasets, feature vectorization, and model implementation details. The teaching method involves a mock interview format with questions and discussions between the interviewer and interviewee. The intended audience includes individuals seeking data-focused roles, as well as those interested in gaining a better understanding of the machine learning process.
Syllabus
⌨️ 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
Taught by
freeCodeCamp.org