# iamtodor/data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

Repository: https://github.com/iamtodor/data-science-interview-questions-and-answers
Canonical: https://ross.abutalabs.com/products/data-science-interview-questions-and-answers
License: MIT
License Family: permissive
Topics: data-science, machine-learning, interview-questions, interview-preparation
Last push: 2022-07-10T10:25:07+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": 3192, "days_push": 1515, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1667, forks 361 (observed 2026-08-28T04:05:19.789966+00:00)

## What it is
A curated collection of data science and machine learning interview questions with answers, covering topics like feature selection, regularization, bias-variance, and statistics. It is a reference document intended for interview preparation rather than runnable software.

## Use cases
- prepare for a data science interview
- review machine learning interview questions and answers
- study common statistics questions asked in ML interviews
- brush up on concepts like regularization and precision/recall before an interview
- find sample answers for data science job screening questions

## When to choose
- you are preparing for data science or ML interviews and want a question bank with answers
- you want a quick refresher on core ML and statistics concepts
- you prefer a free, community-maintained study resource

## When to avoid
- you need runnable code, libraries, or tools rather than written Q&A content
- you need a comprehensive, up-to-date curriculum - the repo is self-described as 'not ideally (yet)' and updates are infrequent
- you need interactive practice or mock interview features

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, machine-learning, data-science
- domain: data-science, machine-learning, tutorials, education
- platform: cross-platform
- tags: interview-questions, interview-preparation, q-and-a, study-guide

## Member repositories
- iamtodor/data-science-interview-questions-and-answers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:19.789966+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 2026-08-30T03:42:53.245546+00:00, confidence not recorded.
  - readme: https://github.com/iamtodor/data-science-interview-questions-and-answers (fetched 2026-08-28T04:05:19.789966+00:00, sha 0bd291997b47)
- Data as of 2026-08-30T08:39:29.467469+00:00.