RRepoGEO

REPOGEO REPORT · LITE

offchan42/machine-learning-curriculum

Default branch master · commit 526ad9ae · scanned 6/20/2026, 3:03:51 PM

GitHub: 1,125 stars · 253 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
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 offchan42/machine-learning-curriculum, 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 README's opening to clarify it's a curated list of external resources

    Why:

    CURRENT
    This curriculum is made to guide you to learn machine learning, recommend tools, and help you to embrace ML lifestyle by suggesting media to follow.
    COPY-PASTE FIX
    This curriculum is a curated, regularly updated guide to learning machine learning, recommending tools, and embracing the ML lifestyle by suggesting *external* media and resources to follow.
  • hightopics#2
    Refine topics to emphasize 'curriculum' and 'guide' over specific ML libraries

    Why:

    CURRENT
    chainer, convolutional-neural-networks, course, curriculum, deep-learning, guide, machine-learning, mlops-workflow, mxnet, neural-network, python, pytorch, recurrent-neural-networks, reinforcement-learning, tensorflow
    COPY-PASTE FIX
    machine-learning, deep-learning, reinforcement-learning, neural-networks, convolutional-neural-networks, recurrent-neural-networks, mlops-workflow, python, course, curriculum, guide, learning-path, educational-resources, curated-list
  • mediumabout#3
    Clarify the 'About' description to highlight its nature as a curated list/curriculum

    Why:

    CURRENT
    :computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
    COPY-PASTE FIX
    :computer: The ultimate curated list and guided curriculum to learn machine learning, from fundamentals to advanced topics, by leveraging external 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 offchan42/machine-learning-curriculum
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NumPy
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. NumPy · recommended 2×
  2. TensorFlow · recommended 2×
  3. Keras · recommended 2×
  4. PyTorch · recommended 2×
  5. 3Blue1Brown's Essence of Linear Algebra · recommended 1×
  • CATEGORY QUERY
    Need a complete curriculum to understand machine learning fundamentals and advanced topics.
    you: not recommended
    AI recommended (in order):
    1. 3Blue1Brown's Essence of Linear Algebra
    2. Gilbert Strang's Introduction to Linear Algebra
    3. Khan Academy Calculus
    4. 3Blue1Brown's Essence of Calculus
    5. Khan Academy Probability & Statistics
    6. Think Stats
    7. Automate the Boring Stuff with Python
    8. Codecademy Python 3 Course
    9. Python for Data Analysis
    10. Andrew Ng's Machine Learning Course
    11. An Introduction to Statistical Learning with Applications in R
    12. Pandas
    13. NumPy
    14. Matplotlib
    15. Seaborn
    16. Scikit-learn
    17. Deep Learning Specialization
    18. Deep Learning (Goodfellow et al. textbook)
    19. TensorFlow
    20. Keras
    21. PyTorch
    22. Hugging Face Transformers
    23. TensorFlow Hub
    24. PyTorch Hub
    25. Reinforcement Learning: An Introduction
    26. OpenAI Gym
    27. Stable Baselines3
    28. Docker
    29. Kubernetes
    30. MLflow
    31. AWS SageMaker
    32. Google Cloud AI Platform
    33. Azure Machine Learning
    34. NLTK
    35. spaCy
    36. OpenCV
    37. PyTorch Vision
    38. TensorFlow Datasets
    39. Prophet
    40. Statsmodels
    41. LIME
    42. SHAP
    43. AI Fairness 360
    44. Kaggle
    45. GitHub
    46. Medium
    47. Towards Data Science
    48. Stack Overflow

    AI recommended 48 alternatives but never named offchan42/machine-learning-curriculum. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a guide for mastering deep learning, including neural networks and reinforcement learning.
    you: not recommended
    AI recommended (in order):
    1. Scikit-Learn
    2. Keras
    3. TensorFlow
    4. NumPy
    5. PyTorch
    6. MXNet
    7. fast.ai

    AI recommended 7 alternatives but never named offchan42/machine-learning-curriculum. 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 offchan42/machine-learning-curriculum?
    pass
    AI did not name offchan42/machine-learning-curriculum — 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 offchan42/machine-learning-curriculum in production, what risks or prerequisites should they evaluate first?
    pass
    AI named offchan42/machine-learning-curriculum 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 offchan42/machine-learning-curriculum solve, and who is the primary audience?
    pass
    AI did not name offchan42/machine-learning-curriculum — 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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offchan42/machine-learning-curriculum — 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