apachecn/Interview resource
Interview = 简历指南 + 算法题 + 八股文 + 源码分析 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: 3246
- days_rel: n/a
- days_push: 1048
- n_releases_24m: 0
Adoption not part of the score
8960 stars · 2144 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A Chinese-language IT interview knowledge base maintained by ApacheCN, covering resume guidance, algorithm problems (LeetCode-style), common interview questions, source code analysis, and machine learning project walkthroughs. It includes detailed Kaggle competition tutorials (Digit Recognizer, Titanic, House Prices, NLP sentiment analysis) with full Python code and methodology.
Use cases
- prepare for software engineering interviews
- study leetcode algorithm problems with explanations
- learn how to approach kaggle competitions step by step
- review machine learning interview questions and project workflow
- get resume and career guidance for IT jobs
- practice feature engineering and model ensembling on classic datasets
- find Chinese-language study material for data science interviews
When to choose
- you are preparing for IT or ML job interviews and prefer Chinese-language material
- you want guided, code-complete walkthroughs of beginner Kaggle competitions
- you need a consolidated collection of algorithms, interview questions, and resume tips
When to avoid
- you need up-to-date interview content - the latest release is from 2023 and updates appear infrequent
- you need English-language interview preparation
- you want an interactive coding platform rather than a static knowledge base
- you require production-grade ML tooling rather than study notes
Facets
learning-resource · maturity maintenance
machine-learning data-science documentation tutorials machine-learning education developer-tools python cross-platform interview-preparation leetcode kaggle chinese resume-guide study-notes apachecn
8 sources
- readme: https://github.com/apachecn/Interview · fetched 2026-08-28 · 16644ddb382c
- homepage: https://interview.apachecn.org · fetched 2026-08-29 · c66997a8a8a0
- site_page: https://interview.apachecn.org/Kaggle/kaggle-quickstart · fetched 2026-08-29 · dc0bcc20879c
- site_page: https://interview.apachecn.org/Kaggle/competitions/getting-started/digit-recognizer · fetched 2026-08-29 · 95c7baf9144d
- site_page: https://interview.apachecn.org/Kaggle/competitions/getting-started/titanic · fetched 2026-08-29 · 9806ed246f21
- site_page: https://interview.apachecn.org/Kaggle/competitions/getting-started/house-price · fetched 2026-08-29 · 3ec9c0264312
- site_page: https://interview.apachecn.org/Kaggle/competitions/getting-started/word2vec-nlp-tutorial · fetched 2026-08-29 · f3237bc0bc6a
- site_page: https://www.apachecn.org/about · fetched 2026-08-29 · 211b768594dc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| apachecn/Interview | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="apachecn/Interview")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem