REPOGEO REPORT · LITE

tirthajyoti/Data-science-best-resources

Default branch master · commit 1100c9b1 · scanned 5/10/2026, 1:47:31 AM

GitHub: 3,202 stars · 1,010 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 tirthajyoti/Data-science-best-resources, 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 title and description to clarify its 'awesome list' nature

Why:

CURRENT

# Data Science Collected Resources
A trove of carefully curated resources and links (on the topics of software, platforms, language, techniques, etc.) related to data science, all in one place.

COPY-PASTE FIX

# Awesome Data Science Resources
A comprehensive, carefully curated collection of the best resources and links for data science, covering software, platforms, languages, and techniques, all in one place. This repository aims to be the go-to 'awesome list' for data scientists.

mediumreadme#2

Add a clear 'What is this repository?' section after the initial description

Why:

COPY-PASTE FIX

## What is this repository?
This repository serves as a living, personally curated 'awesome list' of high-quality resources for anyone interested in data science, from beginners to experienced practitioners. It includes links to articles, tutorials, courses, tools, and platforms across various domains like AI, ML, data wrangling, and visualization.

lowhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://medium.com/@tirthajyoti
```

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 tirthajyoti/Data-science-best-resources

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Kaggle Learn

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Kaggle Learn · recommended 2×
Google's Machine Learning Crash Course · recommended 2×
Awesome Data Science · recommended 1×
Towards Data Science · recommended 1×
DataCamp · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive collection of data science learning resources and links?
you: not recommended
AI recommended (in order):
1. Awesome Data Science
2. Kaggle Learn
3. Towards Data Science
4. DataCamp
5. freeCodeCamp
6. Google's Machine Learning Crash Course
7. Coursera
AI recommended 7 alternatives but never named tirthajyoti/Data-science-best-resources. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best curated resources for learning artificial intelligence and machine learning concepts?
you: not recommended
AI recommended (in order):
1. Machine Learning by Andrew Ng
2. fast.ai's Practical Deep Learning for Coders
3. Google's Machine Learning Crash Course
4. CS50's Introduction to Artificial Intelligence with Python
5. DeepLearning.AI's Deep Learning Specialization
6. Kaggle Learn
7. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
AI recommended 7 alternatives but never named tirthajyoti/Data-science-best-resources. 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 tirthajyoti/Data-science-best-resources?
pass
AI did not name tirthajyoti/Data-science-best-resources — 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 tirthajyoti/Data-science-best-resources in production, what risks or prerequisites should they evaluate first?
pass
AI named tirthajyoti/Data-science-best-resources 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 tirthajyoti/Data-science-best-resources solve, and who is the primary audience?
pass
AI did not name tirthajyoti/Data-science-best-resources — 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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MARKDOWN (README)

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tirthajyoti/Data-science-best-resources — 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