RRepoGEO

REPOGEO REPORT · LITE

aadi1011/AI-ML-Roadmap-from-scratch

Default branch main · commit bf21cf6c · scanned 6/25/2026, 12:17:55 AM

GitHub: 3,785 stars · 714 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
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 aadi1011/AI-ML-Roadmap-from-scratch, 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 paragraph to emphasize curated free resources

    Why:

    CURRENT
    🧠 Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.
    COPY-PASTE FIX
    🧠 This repository provides a **complete 0 to 100 roadmap** to become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more, by **curating the best free online resources and courses**.
  • mediumabout#2
    Update the repository description to highlight its curated, free-resource nature

    Why:

    CURRENT
    Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.
    COPY-PASTE FIX
    A complete 0 to 100 roadmap to master AI, ML, Generative AI, Deep Learning, Data Science, NLP, and Reinforcement Learning, featuring **curated free online resources and courses** for aspiring learners.
  • lowtopics#3
    Add more specific topics related to 'curation' and 'learning path'

    Why:

    CURRENT
    ai, aiml, artificial-intelligence, data-science, deep-learning, hacktoberfest, hacktoberfest2025, learning, machine-learning, machine-learning-from-scratch, resources, roadmap, tutorial
    COPY-PASTE FIX
    ai, aiml, artificial-intelligence, data-science, deep-learning, hacktoberfest, hacktoberfest2025, learning, machine-learning, machine-learning-from-scratch, resources, roadmap, tutorial, curated-learning, learning-pathway, free-resources

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 aadi1011/AI-ML-Roadmap-from-scratch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Practical Deep Learning for Coders
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Practical Deep Learning for Coders · recommended 1×
  2. Machine Learning (Coursera) · recommended 1×
  3. Deep Learning Specialization (Coursera) · recommended 1×
  4. Machine Learning Crash Course · recommended 1×
  5. tensorflow/tensorflow · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive roadmap to learn artificial intelligence and machine learning from scratch?
    you: not recommended
    AI recommended (in order):
    1. Practical Deep Learning for Coders
    2. Machine Learning (Coursera)
    3. Deep Learning Specialization (Coursera)
    4. Machine Learning Crash Course
    5. TensorFlow (tensorflow/tensorflow)
    6. Applied AI Professional Certificate (Coursera)
    7. scikit-learn (scikit-learn/scikit-learn)
    8. Keras (keras-team/keras)
    9. PyTorch (pytorch/pytorch)
    10. Data Scientist with Python (DataCamp)
    11. Machine Learning Scientist with Python (DataCamp)
    12. Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus (Udemy)
    13. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    AI recommended 13 alternatives but never named aadi1011/AI-ML-Roadmap-from-scratch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best free resources for a complete deep learning and generative AI curriculum?
    you: not recommended
    AI recommended (in order):
    1. fast.ai's Practical Deep Learning for Coders (v5)
    2. DeepLearning.AI's Deep Learning Specialization
    3. Generative AI with Large Language Models
    4. Diffusion Models for Generative AI
    5. Hugging Face's 🫂 Transformers Course
    6. Hugging Face Transformers library
    7. Hugging Face Datasets library
    8. Hugging Face Tokenizers library
    9. Google's Machine Learning Crash Course
    10. TensorFlow APIs
    11. MIT 6.S191: Introduction to Deep Learning
    12. Stanford CS224N: Natural Language Processing with Deep Learning
    13. PyTorch Documentation and Tutorials

    AI recommended 13 alternatives but never named aadi1011/AI-ML-Roadmap-from-scratch. 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 aadi1011/AI-ML-Roadmap-from-scratch?
    pass
    AI did not name aadi1011/AI-ML-Roadmap-from-scratch — 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 aadi1011/AI-ML-Roadmap-from-scratch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aadi1011/AI-ML-Roadmap-from-scratch 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 aadi1011/AI-ML-Roadmap-from-scratch solve, and who is the primary audience?
    pass
    AI did not name aadi1011/AI-ML-Roadmap-from-scratch — 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?

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite