RRepoGEO

REPOGEO REPORT · LITE

loganthorneloe/ml-basics

Default branch main · commit d2b598cd · scanned 6/4/2026, 5:32:43 PM

GitHub: 1,308 stars · 156 forks

AI VISIBILITY SCORE
33 /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
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 loganthorneloe/ml-basics, 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
  • highabout#1
    Update the GitHub Description to clarify repo's purpose

    Why:

    CURRENT
    The fastest way to get up-to-speed on machine learning fundamentals for free.
    COPY-PASTE FIX
    A free, curated roadmap and learning path for software engineers to master AI and machine learning fundamentals.
  • mediumreadme#2
    Clarify README's opening paragraph to emphasize its nature as a curated resource guide

    Why:

    CURRENT
    This is your streamlined roadmap to learning AI and machine learning from scratch, for free. It starts with prerequisites, moves into machine learning fundamentals, and then engineering topics.
    COPY-PASTE FIX
    This GitHub repository provides a streamlined, free roadmap and curated list of resources for learning AI and machine learning from scratch. It guides you through prerequisites, machine learning fundamentals, and engineering topics.
  • lowtopics#3
    Add more specific topics to improve categorization as a learning resource

    Why:

    CURRENT
    artificial-intelligence, guides, machine-learning, roadmap, software
    COPY-PASTE FIX
    artificial-intelligence, guides, machine-learning, roadmap, learning-path, free-resources, education, software-engineering

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 loganthorneloe/ml-basics
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coursera
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera · recommended 1×
  2. Octave/MATLAB · recommended 1×
  3. TensorFlow · recommended 1×
  4. Colaboratory · recommended 1×
  5. PyTorch · recommended 1×
  • CATEGORY QUERY
    What are the best free resources to learn machine learning fundamentals as a software engineer?
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. Octave/MATLAB
    3. TensorFlow
    4. Colaboratory
    5. PyTorch
    6. fastai library
    7. Kaggle
    8. Scikit-Learn
    9. Keras
    10. O'Reilly

    AI recommended 10 alternatives but never named loganthorneloe/ml-basics. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a comprehensive roadmap to learn artificial intelligence from scratch?
    you: not recommended
    AI recommended (in order):
    1. fast.ai's Practical Deep Learning for Coders
    2. Coursera's Deep Learning Specialization by Andrew Ng (DeepLearning.AI)
    3. edX's Professional Certificate in Data Science by Harvard University
    4. Google's Machine Learning Crash Course
    5. MIT OpenCourseware: Introduction to Deep Learning (6.S191)
    6. Udacity's AI Engineer Nanodegree
    7. Kaggle Learn

    AI recommended 7 alternatives but never named loganthorneloe/ml-basics. 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 loganthorneloe/ml-basics?
    pass
    AI did not name loganthorneloe/ml-basics — 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 loganthorneloe/ml-basics in production, what risks or prerequisites should they evaluate first?
    pass
    AI named loganthorneloe/ml-basics 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 loganthorneloe/ml-basics solve, and who is the primary audience?
    pass
    AI named loganthorneloe/ml-basics 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 loganthorneloe/ml-basics. 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/loganthorneloe/ml-basics.svg)](https://repogeo.com/en/r/loganthorneloe/ml-basics)
HTML
<a href="https://repogeo.com/en/r/loganthorneloe/ml-basics"><img src="https://repogeo.com/badge/loganthorneloe/ml-basics.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

loganthorneloe/ml-basics — 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