# JifuZhao/DS-Take-Home

My solution to the book A Collection of Data Science Take-Home Challenges

Repository: https://github.com/JifuZhao/DS-Take-Home
Canonical: https://ross.abutalabs.com/products/ds-take-home
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: data-science, machine-learning, exercise-solutions, challenge
Archived: true
Last push: 2019-03-09T03:22:16+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3066, "days_push": 2734, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1719, forks 848 (observed 2026-08-28T04:05:26.640909+00:00)

## What it is
A collection of Jupyter Notebook solutions to the 20 data science take-home challenges from the book 'A Collection of Data Science Take-Home Challenges'. It covers problems like A/B testing, funnel analysis, fraud detection, and clustering for self-learning purposes.

## Use cases
- prepare for data science take-home interview challenges
- practice A/B test analysis in python
- learn funnel analysis with worked examples
- study fraud detection on transaction data
- practice clustering and user retention analysis
- find example solutions for data science case studies

## When to choose
- you are preparing for data science interviews or take-home assignments
- you want worked notebook examples of common analytics problems
- you own the original book and want to compare your solutions

## When to avoid
- you need the original datasets - they are not provided and must be purchased from the book author
- you need production-ready data science code or libraries
- you want a maintained tool rather than static educational notebooks

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, machine-learning, analytics
- domain: data-science, education, tutorials
- platform: python, cross-platform
- tags: jupyter-notebooks, exercise-solutions, interview-preparation, take-home-challenges, ab-testing, funnel-analysis

## Member repositories
- JifuZhao/DS-Take-Home (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:26.640909+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 2026-08-30T03:34:06.425615+00:00, confidence not recorded.
  - readme: https://github.com/JifuZhao/DS-Take-Home (fetched 2026-08-28T04:05:26.640909+00:00, sha 9eae9fb25a58)
- Data as of 2026-08-30T08:39:29.467469+00:00.