RRepoGEO

REPOGEO REPORT · LITE

adeshpande3/Machine-Learning-Links-And-Lessons-Learned

Default branch master · commit 4e17405d · scanned 5/18/2026, 11:32:46 AM

GitHub: 1,010 stars · 342 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 adeshpande3/Machine-Learning-Links-And-Lessons-Learned, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository, choosing an appropriate open-source license for content (e.g., CC-BY-4.0, MIT, or Apache-2.0).
  • highhomepage#2
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/adeshpande3/Machine-Learning-Links-And-Lessons-Learned
  • mediumreadme#3
    Emphasize personal curation and insights in the README's opening

    Why:

    CURRENT
    List of all the lessons learned, best practices, and links from my time studying machine learning.
    COPY-PASTE FIX
    A personally curated collection of lessons learned, best practices, and valuable links from my journey studying machine learning, offering unique insights and 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 adeshpande3/Machine-Learning-Links-And-Lessons-Learned
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google's Machine Learning Crash Course (MLCC)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google's Machine Learning Crash Course (MLCC) · recommended 1×
  2. fast.ai's Practical Deep Learning for Coders · recommended 1×
  3. Coursera's Machine Learning by Andrew Ng · recommended 1×
  4. Awesome Machine Learning GitHub Repository · recommended 1×
  5. Microsoft Azure Machine Learning Documentation and Best Practices · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of machine learning best practices and learning resources?
    you: not recommended
    AI recommended (in order):
    1. Google's Machine Learning Crash Course (MLCC)
    2. fast.ai's Practical Deep Learning for Coders
    3. Coursera's Machine Learning by Andrew Ng
    4. Awesome Machine Learning GitHub Repository
    5. Microsoft Azure Machine Learning Documentation and Best Practices
    6. TensorFlow Extended (TFX)
    7. Designing Machine Learning Systems

    AI recommended 7 alternatives but never named adeshpande3/Machine-Learning-Links-And-Lessons-Learned. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best deep learning frameworks and essential resources for ML projects?
    you: not recommended
    AI recommended (in order):
    1. PyTorch (pytorch/pytorch)
    2. TensorFlow (tensorflow/tensorflow)
    3. JAX (google/jax)
    4. Flax (google/flax)
    5. Haiku (deepmind/dm-haiku)
    6. Keras (standalone) (keras-team/keras)
    7. scikit-learn (scikit-learn/scikit-learn)
    8. NumPy (numpy/numpy)
    9. pandas (pandas-dev/pandas)
    10. Matplotlib (matplotlib/matplotlib)
    11. Seaborn (mwaskom/seaborn)
    12. Weights & Biases (W&B) (wandb/wandb)
    13. Git
    14. GitHub
    15. GitLab
    16. Bitbucket
    17. Docker

    AI recommended 17 alternatives but never named adeshpande3/Machine-Learning-Links-And-Lessons-Learned. 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 adeshpande3/Machine-Learning-Links-And-Lessons-Learned?
    pass
    AI named adeshpande3/Machine-Learning-Links-And-Lessons-Learned explicitly

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

  • If a team adopts adeshpande3/Machine-Learning-Links-And-Lessons-Learned in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name adeshpande3/Machine-Learning-Links-And-Lessons-Learned — 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?

  • In one sentence, what problem does the repo adeshpande3/Machine-Learning-Links-And-Lessons-Learned solve, and who is the primary audience?
    pass
    AI did not name adeshpande3/Machine-Learning-Links-And-Lessons-Learned — 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 adeshpande3/Machine-Learning-Links-And-Lessons-Learned. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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adeshpande3/Machine-Learning-Links-And-Lessons-Learned — 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