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alexeygrigorev/data-science-interviews
Data science interview questions and answers
A community-maintained collection of data science and ML interview questions with answers, covering theory (linear models, trees, neural networks) and technical topics (SQL, Python). It's a GitHub Pages site aimed at candidates prepping for DS roles, not a structured course or textbook.
The theory.md file covers a solid breadth of ML fundamentals — bias-variance tradeoff, regularization, tree ensembles — with actual explanations rather than just question lists. Community contribution model means answers get challenged and improved over time via PRs. The SQL section includes visual schema diagrams and worked examples, which is more useful than plain text Q&A. CC BY 4.0 license means you can actually reuse or adapt it without legal friction.
Last meaningful content update appears to be years ago despite the recent push date — the contrib folder has one file and the 'more to come' sections never materialized. No versioning or difficulty tagging on questions, so you can't filter by seniority level or topic depth. The HTML/Jekyll rendering is functional but the content still lives in flat Markdown files, making it hard to navigate beyond the top-level category split. No answer quality signal — a wrong or outdated answer looks identical to a good one unless you already know the material.