RRepoGEO

REPOGEO REPORT · LITE

youssefHosni/Data-Science-Handbook

Default branch main · commit 750c94f1 · scanned 6/1/2026, 4:03:09 AM

GitHub: 561 stars · 124 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface youssefHosni/Data-Science-Handbook, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen README's opening to emphasize 'curated educational handbook'

    Why:

    CURRENT
    This is a repo with links to everything you want to learn about data science, AI & Generative AI and LLMs.
    COPY-PASTE FIX
    This Data Science Handbook is a curated and structured collection of educational resources designed to help you master essential data science skills, from foundational concepts to advanced AI and LLM topics.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects your intentions for reuse and distribution.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL to the 'Homepage' field in the repository's 'About' section. This could be a GitHub Pages site for the handbook, a project website, or even the repository's own URL if no external site exists.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface youssefHosni/Data-Science-Handbook
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Towards Data Science
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Towards Data Science · recommended 2×
  2. Awesome Data Science · recommended 1×
  3. DataCamp · recommended 1×
  4. Kaggle Learn · recommended 1×
  5. Google's Machine Learning Crash Course · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of resources to learn essential data science skills?
    you: not recommended
    AI recommended (in order):
    1. Awesome Data Science
    2. DataCamp
    3. Kaggle Learn
    4. Google's Machine Learning Crash Course
    5. Towards Data Science
    6. freeCodeCamp

    AI recommended 6 alternatives but never named youssefHosni/Data-Science-Handbook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best educational resources for mastering data cleaning and feature engineering?
    you: not recommended
    AI recommended (in order):
    1. Kaggle
    2. Coursera
    3. pandas (pandas-dev/pandas)
    4. Towards Data Science

    AI recommended 4 alternatives but never named youssefHosni/Data-Science-Handbook. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of youssefHosni/Data-Science-Handbook?
    pass
    AI named youssefHosni/Data-Science-Handbook explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts youssefHosni/Data-Science-Handbook in production, what risks or prerequisites should they evaluate first?
    pass
    AI named youssefHosni/Data-Science-Handbook explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo youssefHosni/Data-Science-Handbook solve, and who is the primary audience?
    pass
    AI did not name youssefHosni/Data-Science-Handbook — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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youssefHosni/Data-Science-Handbook — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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