khanhnamle1994/cracking-the-data-science-interview

Quick Overview — What is this tool?

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

This is the project's own description from GitHub — we show it as-is rather than inventing details.

What Can You Do With It?

• Download and run the complete source code on your own computer or server.
• Study how it works — every line of code is public.
• Use it in your own projects, subject to its license terms (see cost section below).
• Its GitHub topics describe its main areas: conceptsdata-journalismdata-portfoliodata-sciencedata-wranglingdeep-learningdownloadable-cheatsheetsmachine-learningpythonstatistics

Who Is This For?

This project is listed under Statistics in Data & Analytics, a category made for analysts, businesses, researchers and data-curious users.

Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)

Is It Free?

No license was detected on GitHub for this repository. The code is publicly visible, but you should not assume it is free to use commercially — contact the owner or check the repository for license terms first.

Is It Actively Maintained?

Activity level: Quiet · Last code update: 31 Aug 2024 · Created: 09 Aug 2018 · Open issues: 5

How to Get Started

1. Open the repository on GitHub and read its README — that is the official, verified setup guide.
2. To download the full code, generate this repository's public link below and run the clone command in a terminal:

Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗

We never publish installation steps we have not verified — the README above is the source of truth.

Repository Statistics

⭐ 4779 stars · 🍴 1209 forks · 🐛 5 open issues · 💻 Language: Jupyter Notebook · 📄 License: None detected · Default branch: master