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khanhnamle1994/cracking-the-data-science-interview resource

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep observed · 2026-08-28

github.com/khanhnamle1994/cracking-the-data-science-interview · homepage · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2946
  • days_rel: n/a
  • days_push: 732
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4743 stars · 1211 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated collection of cheatsheets, ebooks, interview questions, case studies, and portfolio projects for data science and machine learning interview preparation. It is a learning resource repository rather than runnable software.

Use cases

  • prepare for a data science interview
  • find machine learning interview questions and answers
  • review statistics and probability concepts before an interview
  • get downloadable cheatsheets for SQL and ML topics
  • build a data science portfolio with example projects
  • study deep learning and NLP concepts for job interviews

When to choose

  • you are preparing for data science, ML, or analytics interviews
  • you want condensed cheatsheets and curated reading material in one place
  • you need example portfolio projects to showcase data skills

When to avoid

  • you need production code, libraries, or tools to include in a project
  • you want a structured interactive course with exercises and grading
  • you need up-to-date material, as some content may be dated

Facets

learning-resource · maturity maintenance

data-science machine-learning deep-learning data-science machine-learning tutorials education python interview-preparation cheatsheets ebooks question-bank portfolio statistics sql

1 source

Member repositories

For agents

markdown · JSON · MCP: product_card(name="khanhnamle1994/cracking-the-data-science-interview")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem