# youssefHosni/Data-Science-Interview-Questions-Answers

Curated list of data science interview questions and answers

Repository: https://github.com/youssefHosni/Data-Science-Interview-Questions-Answers
Canonical: https://ross.abutalabs.com/products/data-science-interview-questions-answers
License Family: other
Topics: data-science, deep-learning, interview-questions, machine-learning, python
Last push: 2024-09-29T12:52:11+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1558, "days_push": 703, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5832, forks 1286 (observed 2026-08-28T04:09:30.168211+00:00)

## What it is
A curated collection of data science interview questions and answers, organized into machine learning, deep learning, statistics, probability, Python, and resume-based categories. It aggregates daily LinkedIn interview question posts into a single GitHub repository for interview preparation.

## Use cases
- prepare for a data science job interview
- review machine learning interview questions and answers
- study common deep learning interview questions
- brush up on statistics and probability questions before an interview
- practice python interview questions for data science roles
- find resume-based questions asked in data science interviews

## When to choose
- you are preparing for a data science, ML, or DL interview and want a free question bank
- you want concise answers to commonly asked data science interview questions
- you prefer a curated list over scattered blog posts

## When to avoid
- you need a structured course with hands-on exercises or graded assessments
- you need up-to-date material on rapidly evolving topics like LLMs
- you need a software tool or library rather than study content

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: data-science, machine-learning, deep-learning, tutorials
- platform: cross-platform
- tags: interview-questions, curated-list, statistics, probability, python, career-preparation

## Member repositories
- youssefHosni/Data-Science-Interview-Questions-Answers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:30.168211+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:52:04.577922+00:00, confidence not recorded.
  - readme: https://github.com/youssefHosni/Data-Science-Interview-Questions-Answers (fetched 2026-08-28T04:09:30.168211+00:00, sha 7a351d5aa05c)
- Data as of 2026-08-30T08:39:29.467469+00:00.