REPOGEO REPORT · LITE

NabidAlam/road-to-machine-learning

Default branch main · commit 6af155c9 · scanned 6/4/2026, 4:22:37 PM

GitHub: 960 stars · 322 forks

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 NabidAlam/road-to-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

hightopics#1

Add relevant topics to the repository

Why:

COPY-PASTE FIX

machine-learning, deep-learning, data-science, mlops, learning-path, curriculum, education, projects, beginner-friendly

highhomepage#2
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://www.youtube.com/watch?v=WHFYUA7F9jk&list=PLCAuWzdnX8zJZhdnHPYMTE5g-CRtgD44X
```

mediumabout#3

Refine the About section's description to emphasize 'course' or 'curriculum'

Why:

CURRENT

A comprehensive, step-by-step guide to learning Machine Learning from absolute basics to advanced topics

COPY-PASTE FIX

A comprehensive Machine Learning course and curriculum, guiding beginners from basics to advanced topics with 23 practical projects.

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 NabidAlam/road-to-machine-learning

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google's Machine Learning Crash Course

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Google's Machine Learning Crash Course · recommended 2×
Kaggle Learn · recommended 2×
Andrew Ng's Machine Learning Course on Coursera · recommended 1×
TensorFlow · recommended 1×
fast.ai's "Practical Deep Learning for Coders" Course · recommended 1×

CATEGORY QUERY
Where can I find a complete learning path to master machine learning from scratch?
you: not recommended
AI recommended (in order):
1. Andrew Ng's Machine Learning Course on Coursera
2. Google's Machine Learning Crash Course
3. TensorFlow
4. fast.ai's "Practical Deep Learning for Coders" Course
5. PyTorch
6. IBM's Machine Learning Professional Certificate on Coursera
7. scikit-learn
8. DataCamp's Machine Learning Scientist with Python Career Track
9. Kaggle Learn
10. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron
11. Keras
AI recommended 11 alternatives but never named NabidAlam/road-to-machine-learning. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best resources for a structured machine learning curriculum with practical projects?
you: not recommended
AI recommended (in order):
1. Coursera's Machine Learning Specialization by Andrew Ng
2. fast.ai
3. Google's Machine Learning Crash Course
4. edX's "Professional Certificate in Data Science" by Harvard University
5. Udacity's "Machine Learning Engineer Nanodegree"
6. Kaggle Learn
AI recommended 6 alternatives but never named NabidAlam/road-to-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
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 NabidAlam/road-to-machine-learning?
pass
AI named NabidAlam/road-to-machine-learning explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts NabidAlam/road-to-machine-learning in production, what risks or prerequisites should they evaluate first?
pass
AI did not name NabidAlam/road-to-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?
In one sentence, what problem does the repo NabidAlam/road-to-machine-learning solve, and who is the primary audience?
pass
AI did not name NabidAlam/road-to-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

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MARKDOWN (README)

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NabidAlam/road-to-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