RRepoGEO

REPOGEO REPORT · LITE

louisfb01/start-machine-learning

Default branch master · commit a87e8e2a · scanned 5/20/2026, 3:59:09 AM

GitHub: 5,249 stars · 703 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)

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

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 louisfb01/start-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
    Reposition the README's opening to clarify its role as a curated roadmap of external resources

    Why:

    CURRENT
    # Start Machine Learning in 2026 - Become an expert for free!
## A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
    COPY-PASTE FIX
    # Start Machine Learning in 2026 - Your Curated Roadmap to Becoming an Expert for Free!
## This repository provides a complete, structured guide and curated collection of external resources to start and improve in machine learning (ML) and artificial intelligence (AI) in 2026 without ANY background in the field, helping you stay up-to-date with the latest news and state-of-the-art techniques!
  • mediumtopics#2
    Add topics that explicitly convey 'curation' and 'roadmap'

    Why:

    CURRENT
    artificial-intelligence, cheat-sheets, course, coursera, coursera-machine-learning, data-science, deep-learning, learn-to-code, learning, learning-python, linear-algebra, machine-learning, neural-networks, practice, probability-statistics, read-articles, tutorial, tutorials, youtube, youtube-playlist
    COPY-PASTE FIX
    artificial-intelligence, cheat-sheets, course, coursera, coursera-machine-learning, data-science, deep-learning, learn-to-code, learning, learning-path, learning-python, linear-algebra, machine-learning, neural-networks, practice, probability-statistics, read-articles, roadmap, curated-resources, resource-guide, tutorial, tutorials, youtube, youtube-playlist
  • lowabout#3
    Refine the 'About' description to explicitly mention 'curated roadmap'

    Why:

    CURRENT
    A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
    COPY-PASTE FIX
    A complete, curated roadmap and guide to start and improve in machine learning (ML) and artificial intelligence (AI) in 2026 without ANY background, helping you stay up-to-date with the latest techniques!

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 louisfb01/start-machine-learning
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kaggle Learn
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaggle Learn · recommended 2×
  2. Coursera's "Machine Learning" by Andrew Ng · recommended 1×
  3. fast.ai's "Practical Deep Learning for Coders" · recommended 1×
  4. Google's Machine Learning Crash Course · recommended 1×
  5. edX's "Introduction to Computer Science and Programming Using Python" · recommended 1×
  • CATEGORY QUERY
    Where can I find a complete guide to start learning machine learning and AI from scratch?
    you: not recommended
    AI recommended (in order):
    1. Coursera's "Machine Learning" by Andrew Ng
    2. fast.ai's "Practical Deep Learning for Coders"
    3. Google's Machine Learning Crash Course
    4. edX's "Introduction to Computer Science and Programming Using Python"
    5. "Deep Learning Specialization" by Andrew Ng (Coursera)
    6. Kaggle Learn

    AI recommended 6 alternatives but never named louisfb01/start-machine-learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What is a good structured learning path for beginners in artificial intelligence and machine learning?
    you: not recommended
    AI recommended (in order):
    1. Python for Everybody
    2. Automate the Boring Stuff with Python
    3. 3Blue1Brown's Essence of Linear Algebra
    4. Khan Academy's Linear Algebra Course
    5. 3Blue1Brown's Essence of Calculus
    6. Khan Academy's Multivariable Calculus Course
    7. Khan Academy's Statistics and Probability Course
    8. Think Stats
    9. Machine Learning by Andrew Ng
    10. Octave/MATLAB
    11. Python
    12. Introduction to Machine Learning with Python
    13. scikit-learn
    14. NumPy
    15. Pandas
    16. Matplotlib / Seaborn
    17. Python Data Science Handbook
    18. Kaggle Learn
    19. Deep Learning Specialization by Andrew Ng
    20. TensorFlow
    21. fast.ai's Practical Deep Learning for Coders
    22. PyTorch
    23. Kaggle
    24. Titanic - Machine Learning from Disaster
    25. House Prices - Advanced Regression Techniques
    26. Stanford CS224N: Natural Language Processing with Deep Learning
    27. Hugging Face Transformers library
    28. Stanford CS231n: Convolutional Neural Networks for Visual Recognition
    29. OpenCV library
    30. Reinforcement Learning by David Silver
    31. Sutton and Barto's Reinforcement Learning: An Introduction

    AI recommended 31 alternatives but never named louisfb01/start-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
    pass

  • 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 louisfb01/start-machine-learning?
    pass
    AI did not name louisfb01/start-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 louisfb01/start-machine-learning in production, what risks or prerequisites should they evaluate first?
    pass
    AI named louisfb01/start-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 louisfb01/start-machine-learning solve, and who is the primary audience?
    pass
    AI did not name louisfb01/start-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 louisfb01/start-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.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/louisfb01/start-machine-learning.svg)](https://repogeo.com/en/r/louisfb01/start-machine-learning)
HTML
<a href="https://repogeo.com/en/r/louisfb01/start-machine-learning"><img src="https://repogeo.com/badge/louisfb01/start-machine-learning.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

louisfb01/start-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