RRepoGEO

REPOGEO REPORT · LITE

wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning

Default branch master · commit 4af0e239 · scanned 6/13/2026, 4:32:49 AM

GitHub: 698 stars · 131 forks

AI VISIBILITY SCORE
15 /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
0 / 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 wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning, 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
    Reposition the README's opening to clarify it's a curated guide/compilation

    Why:

    CURRENT
    O objetivo deste respositório é organizar materiais de estudos - majoritariamente gratuitos e em PT-BR - sobre ciência de dados e inteligência artificial. Inicialmente, o criei para organizar os vários links que encontrei durante minhas pesquisas por materiais. Atualmente, acrescento todos materiais que acredito ser importante para quem está iniciando na área.
    COPY-PASTE FIX
    O repositório **wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning** é uma **compilação e guia curado** de materiais de estudo - majoritariamente gratuitos e em PT-BR - sobre ciência de dados e inteligência artificial. Ele organiza e apresenta trilhas de aprendizagem, canais, cursos, livros e outros recursos, servindo como um ponto de partida para quem está iniciando na área. Diferente de plataformas de cursos diretas, este guia foca em agregar e direcionar para os melhores recursos existentes.
  • mediumcomparison#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparação com Outras Plataformas

Este repositório não é uma plataforma de cursos como DataCamp, Coursera ou Kaggle Learn. Em vez disso, ele atua como um guia e compilador de recursos, direcionando você para os melhores cursos, canais e materiais gratuitos e pagos disponíveis em português para Data Science e Inteligência Artificial. Nosso objetivo é organizar o vasto universo de informações para que você possa construir sua própria trilha de aprendizado de forma eficiente.
  • lowtopics#3
    Add 'free-resources' to the repository topics

    Why:

    CURRENT
    ciencia-de-dados, data-science, deep-learning, guia-de-estudos, inteligencia-artificial, machine-learning
    COPY-PASTE FIX
    ciencia-de-dados, data-science, deep-learning, free-resources, guia-de-estudos, inteligencia-artificial, machine-learning

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 wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kaggle Learn
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaggle Learn · recommended 2×
  2. DataCamp Career Tracks · recommended 1×
  3. Coursera Specializations/Professional Certificates · recommended 1×
  4. Deep Learning Specialization by Andrew Ng (deeplearning.ai) · recommended 1×
  5. IBM Data Science Professional Certificate · recommended 1×
  • CATEGORY QUERY
    Where can I find a beginner's roadmap for learning data science and artificial intelligence?
    you: not recommended
    AI recommended (in order):
    1. DataCamp Career Tracks
    2. Coursera Specializations/Professional Certificates
    3. Deep Learning Specialization by Andrew Ng (deeplearning.ai)
    4. IBM Data Science Professional Certificate
    5. Google IT Automation with Python Professional Certificate
    6. Kaggle Learn
    7. freeCodeCamp Data Analysis with Python Certification
    8. freeCodeCamp Machine Learning with Python certification
    9. Towards Data Science
    10. Udemy Courses
    11. Python for Data Science and Machine Learning Bootcamp
    12. Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus

    AI recommended 12 alternatives but never named wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good free beginner resources for starting a career in machine learning?
    you: not recommended
    AI recommended (in order):
    1. Google's Machine Learning Crash Course
    2. Andrew Ng's Machine Learning Course
    3. fast.ai's "Practical Deep Learning for Coders"
    4. Kaggle Learn
    5. freeCodeCamp's Machine Learning Curriculum
    6. IBM's Machine Learning with Python
    7. 3Blue1Brown's "Essence of Linear Algebra"
    8. 3Blue1Brown's "Essence of Calculus"

    AI recommended 8 alternatives but never named wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning. 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 wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning?
    pass
    AI did not name wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning — 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?

  • If a team adopts wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning — 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?

  • In one sentence, what problem does the repo wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning solve, and who is the primary audience?
    pass
    AI did not name wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning — 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?

Embed your GEO score

Drop this badge into the README of wendelmarques/materiais-de-estudos-sobre-data-science-deep-machine-learning. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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