RRepoGEO

REPOGEO REPORT · LITE

balapriyac/data-science-tutorials

Default branch main · commit 10602e2f · scanned 6/11/2026, 6:02:55 PM

GitHub: 585 stars · 187 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 balapriyac/data-science-tutorials, 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
  • highlicense#1
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root. Choose an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects how you want users to interact with your tutorial code.
  • hightopics#2
    Expand repository topics with specific content areas

    Why:

    CURRENT
    data-science, python, tutorial-sourcecode
    COPY-PASTE FIX
    data-science, python, tutorial-sourcecode, machine-learning, nlp, fastapi, duckdb, statistics, data-analysis, data-engineering, mlops, data-visualization
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a link to your personal website, blog, or a dedicated landing page for your tutorials in the repository's 'About' section (Homepage field).

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 balapriyac/data-science-tutorials
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. TensorFlow · recommended 2×
  3. Towards Data Science · recommended 1×
  4. Kaggle Learn · recommended 1×
  5. DataCamp · recommended 1×
  • CATEGORY QUERY
    How can I find practical Python tutorials for common data science tasks and concepts?
    you: not recommended
    AI recommended (in order):
    1. Towards Data Science
    2. Kaggle Learn
    3. DataCamp
    4. Real Python
    5. freeCodeCamp.org
    6. Analytics Vidhya
    7. PyTorch
    8. TensorFlow

    AI recommended 8 alternatives but never named balapriyac/data-science-tutorials. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find guides for building and deploying machine learning applications using Python?
    you: not recommended
    AI recommended (in order):
    1. Scikit-learn
    2. TensorFlow
    3. Keras
    4. PyTorch
    5. MLflow
    6. FastAPI
    7. Uvicorn
    8. Gunicorn
    9. AWS SageMaker
    10. Google Cloud AI Platform

    AI recommended 10 alternatives but never named balapriyac/data-science-tutorials. 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 balapriyac/data-science-tutorials?
    pass
    AI named balapriyac/data-science-tutorials explicitly

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

  • If a team adopts balapriyac/data-science-tutorials in production, what risks or prerequisites should they evaluate first?
    pass
    AI named balapriyac/data-science-tutorials 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 balapriyac/data-science-tutorials solve, and who is the primary audience?
    pass
    AI did not name balapriyac/data-science-tutorials — 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

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balapriyac/data-science-tutorials — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
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