RRepoGEO

REPOGEO REPORT · LITE

lazyprogrammer/machine_learning_examples

Default branch master · commit f8d02702 · scanned 5/14/2026, 1:18:10 AM

GitHub: 8,866 stars · 6,422 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 lazyprogrammer/machine_learning_examples, 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 statement

    Why:

    CURRENT
    machine_learning_examples
A collection of machine learning examples and tutorials.
    COPY-PASTE FIX
    This repository provides a comprehensive, course-aligned collection of practical machine learning examples and tutorials, designed for students and self-learners following the Lazy Programmer courses.
  • highreadme#2
    Add a license statement to the README

    Why:

    COPY-PASTE FIX
    This project is licensed under the [Your License Name] License - see the [LICENSE](LICENSE) file for details.
  • mediumabout#3
    Refine the repository's About description

    Why:

    CURRENT
    A collection of machine learning examples and tutorials.
    COPY-PASTE FIX
    Course-aligned practical machine learning examples and tutorials for students and self-learners, covering deep learning, NLP, and reinforcement 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 lazyprogrammer/machine_learning_examples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
keras-team/keras-io
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. keras-team/keras-io · recommended 2×
  2. pytorch/examples · recommended 2×
  3. TensorFlow · recommended 2×
  4. fast.ai · recommended 1×
  5. fastai · recommended 1×
  • CATEGORY QUERY
    Where can I find practical Python code examples for deep learning concepts?
    you: not recommended
    AI recommended (in order):
    1. Keras (keras-team/keras-io)
    2. PyTorch (pytorch/examples)
    3. TensorFlow
    4. fast.ai
    5. fastai
    6. pytorch/examples (pytorch/examples)
    7. keras-team/keras-io (keras-team/keras-io)
    8. Papers With Code
    9. Medium
    10. Towards Data Science

    AI recommended 10 alternatives but never named lazyprogrammer/machine_learning_examples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for Python reinforcement learning project ideas with accompanying code.
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3
    2. PyTorch
    3. Keras-RL2
    4. TensorFlow
    5. Keras
    6. RLlib
    7. Ray
    8. PettingZoo
    9. OpenAI Gym
    10. AlphaZero.py
    11. FinRL
    12. yfinance
    13. pandas_datareader

    AI recommended 13 alternatives but never named lazyprogrammer/machine_learning_examples. 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 lazyprogrammer/machine_learning_examples?
    pass
    AI did not name lazyprogrammer/machine_learning_examples — 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 lazyprogrammer/machine_learning_examples in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name lazyprogrammer/machine_learning_examples — 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 lazyprogrammer/machine_learning_examples solve, and who is the primary audience?
    pass
    AI named lazyprogrammer/machine_learning_examples explicitly

    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 lazyprogrammer/machine_learning_examples. 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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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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