RRepoGEO

REPOGEO REPORT · LITE

teddylee777/machine-learning

Default branch master · commit 2524e437 · scanned 5/14/2026, 4:47:43 AM

GitHub: 2,838 stars · 903 forks

AI VISIBILITY SCORE
22 /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
1 / 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 teddylee777/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
    Add a concise English project summary to the README

    Why:

    COPY-PASTE FIX
    Add the following English summary at the very top of your README, before the current H1:
'This repository offers a comprehensive collection of beginner-friendly machine learning and deep learning tutorials, code examples, and self-study guides, primarily in Korean. It's designed to help individuals learn and practice core machine learning concepts effectively.'
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository, choosing a suitable open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects how you want others to use your code.
  • mediumhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    Add a URL to the repository's 'About' section (e.g., a GitHub Pages site for the project, or a dedicated documentation site) that serves as a project homepage.

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 teddylee777/machine-learning
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tensorflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tensorflow · recommended 2×
  2. Google's Machine Learning Crash Course · recommended 1×
  3. Coursera: Machine Learning by Andrew Ng (Stanford University) · recommended 1×
  4. Kaggle Learn · recommended 1×
  5. freeCodeCamp/freeCodeCamp · recommended 1×
  • CATEGORY QUERY
    Where can I find beginner-friendly machine learning tutorials for self-study?
    you: not recommended
    AI recommended (in order):
    1. Google's Machine Learning Crash Course
    2. TensorFlow (tensorflow/tensorflow)
    3. Coursera: Machine Learning by Andrew Ng (Stanford University)
    4. Kaggle Learn
    5. freeCodeCamp Machine Learning Curriculum (freeCodeCamp/freeCodeCamp)
    6. Towards Data Science
    7. Scikit-learn (scikit-learn/scikit-learn)

    AI recommended 7 alternatives but never named teddylee777/machine-learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good resources for learning deep learning and NLP concepts using Python?
    you: not recommended
    AI recommended (in order):
    1. fastai (fastai/fastai)
    2. PyTorch (pytorch/pytorch)
    3. TensorFlow (tensorflow/tensorflow)
    4. Keras (keras-team/keras)
    5. Hugging Face Transformers Library (huggingface/transformers)
    6. Hugging Face Datasets (huggingface/datasets)
    7. Hugging Face Accelerate (huggingface/accelerate)

    AI recommended 7 alternatives but never named teddylee777/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 teddylee777/machine-learning?
    pass
    AI did not name teddylee777/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 teddylee777/machine-learning in production, what risks or prerequisites should they evaluate first?
    pass
    AI named teddylee777/machine-learning 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 teddylee777/machine-learning solve, and who is the primary audience?
    pass
    AI did not name teddylee777/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 teddylee777/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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  • Brand-free category queries5 vs 2 in Lite
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