RRepoGEO

REPOGEO REPORT · LITE

teddylee777/machine-learning

Default branch master · commit 2524e437 · scanned 6/24/2026, 4:47:55 PM

GitHub: 2,839 stars · 902 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the MIT License text.
  • highreadme#2
    Strengthen README's opening paragraph for beginner study resources

    Why:

    COPY-PASTE FIX
    Add an introductory paragraph immediately after the main title, such as: "This repository offers a comprehensive collection of machine learning and deep learning study materials, tutorials, and practical examples using Python, TensorFlow, and PyTorch. Designed for beginners and those preparing for studies, it covers essential concepts in NLP, neural networks, and more, making complex topics accessible through hands-on Jupyter Notebooks."
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Set the repository homepage URL to a relevant link, such as a project website, documentation, or a personal portfolio (e.g., "https://teddylee777.github.io/").

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
Coursera's "Machine Learning" by Andrew Ng
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera's "Machine Learning" by Andrew Ng · recommended 1×
  2. "Python for Data Analysis" by Wes McKinney · recommended 1×
  3. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron · recommended 1×
  4. Scikit-learn · recommended 1×
  5. fast.ai's "Practical Deep Learning for Coders" · recommended 1×
  • CATEGORY QUERY
    Looking for comprehensive machine learning study resources for beginners using Python.
    you: not recommended
    AI recommended (in order):
    1. Coursera's "Machine Learning" by Andrew Ng
    2. "Python for Data Analysis" by Wes McKinney
    3. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
    4. Scikit-learn
    5. fast.ai's "Practical Deep Learning for Coders"
    6. Kaggle Learn

    AI recommended 6 alternatives but never named teddylee777/machine-learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find practical deep learning and NLP tutorials with TensorFlow and PyTorch?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. PyTorch (pytorch/pytorch)
    3. TensorFlow (tensorflow/tensorflow)
    4. fast.ai (fastai/fastai)
    5. Kaggle
    6. Towards Data Science
    7. Medium
    8. Coursera
    9. edX
    10. DeepLearning.AI

    AI recommended 10 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 named teddylee777/machine-learning explicitly

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

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teddylee777/machine-learning — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite