RRepoGEO

REPOGEO REPORT · LITE

mdozmorov/MachineLearning_notes

Default branch master · commit c47d6af3 · scanned 6/4/2026, 7:38:23 AM

GitHub: 562 stars · 92 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 mdozmorov/MachineLearning_notes, 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
    Remove confusing URL from README start

    Why:

    CURRENT
    https://github.com/ed-donner/llm_engineering?tab=readme-ov-file# Machine- and Deep Learning resources
    COPY-PASTE FIX
    # Machine- and Deep Learning resources
  • highreadme#2
    Reposition the README's opening paragraph

    Why:

    CURRENT
    Machine and deep learning and data analysis resources.
    COPY-PASTE FIX
    This repository is a personally curated collection of machine learning and deep learning learning resources, notes, and cheatsheets, designed for students and practitioners.
  • hightopics#3
    Add more specific topics

    Why:

    CURRENT
    deep-learning, machine-learning
    COPY-PASTE FIX
    deep-learning, machine-learning, learning-resources, cheatsheets, awesome-list, notes

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 mdozmorov/MachineLearning_notes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coursera
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera · recommended 2×
  2. PyTorch · recommended 2×
  3. TensorFlow · recommended 2×
  4. Keras · recommended 2×
  5. MATLAB · recommended 1×
  • CATEGORY QUERY
    What are good learning resources and cheatsheets for machine and deep learning?
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. MATLAB
    3. Octave
    4. fast.ai
    5. PyTorch
    6. DeepLearning.AI
    7. TensorFlow
    8. Scikit-Learn
    9. Keras
    10. Kaggle Learn
    11. Python
    12. Pandas
    13. Google's Machine Learning Crash Course
    14. NumPy
    15. DataCamp
    16. SciPy
    17. Matplotlib
    18. Favio Vázquez

    AI recommended 18 alternatives but never named mdozmorov/MachineLearning_notes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking comprehensive guides on popular deep learning frameworks like PyTorch and TensorFlow.
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras
    4. JAX
    5. Udacity
    6. Coursera
    7. deeplearning.ai
    8. Udemy

    AI recommended 8 alternatives but never named mdozmorov/MachineLearning_notes. 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 mdozmorov/MachineLearning_notes?
    pass
    AI named mdozmorov/MachineLearning_notes explicitly

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

  • If a team adopts mdozmorov/MachineLearning_notes in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mdozmorov/MachineLearning_notes 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 mdozmorov/MachineLearning_notes solve, and who is the primary audience?
    pass
    AI did not name mdozmorov/MachineLearning_notes — 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 mdozmorov/MachineLearning_notes. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/mdozmorov/MachineLearning_notes.svg)](https://repogeo.com/en/r/mdozmorov/MachineLearning_notes)
HTML
<a href="https://repogeo.com/en/r/mdozmorov/MachineLearning_notes"><img src="https://repogeo.com/badge/mdozmorov/MachineLearning_notes.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

mdozmorov/MachineLearning_notes — 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