REPOGEO REPORT · LITE

cerlymarco/MEDIUM_NoteBook

Default branch master · commit 8496749e · scanned 6/28/2026, 11:07:35 PM

GitHub: 2,139 stars · 972 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

28 /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

2 / 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 cerlymarco/MEDIUM_NoteBook, 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

Expand the README's opening paragraph to highlight practical value

Why:

CURRENT

Repository containing notebooks of my posts on MEDIUM.

COPY-PASTE FIX

This repository provides a comprehensive collection of practical Jupyter Notebooks, directly accompanying my Medium posts, designed to offer hands-on examples and in-depth explanations for complex data science, machine learning, and MLOps topics, with a particular focus on time series forecasting and causal inference.

mediumhomepage#2
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://medium.com/@cerlymarco
```

lowtopics#3

Add more specific topics to reflect content

Why:

CURRENT

artificial-intelligence, data-science, deep-learning, machine-learning, notebooks

COPY-PASTE FIX

artificial-intelligence, data-science, deep-learning, machine-learning, notebooks, time-series-forecasting, mlops, causal-inference, survival-analysis

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 cerlymarco/MEDIUM_NoteBook

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

mlflow/mlflow

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

mlflow/mlflow · recommended 2×
Kaggle Notebooks · recommended 1×
Towards Data Science · recommended 1×
Analytics Vidhya · recommended 1×
The Startup · recommended 1×

CATEGORY QUERY
Where can I find practical machine learning notebooks explaining complex data science topics?
you: not recommended
AI recommended (in order):
1. Kaggle Notebooks
2. Towards Data Science
3. Analytics Vidhya
4. The Startup
5. GitHub
6. awesome-machine-learning-jupyter-notebooks
7. awesome-datascience
8. Google Colaboratory (Colab)
9. Fast.ai
10. Scikit-learn
11. PyTorch
12. TensorFlow
AI recommended 12 alternatives but never named cerlymarco/MEDIUM_NoteBook. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are good resources for learning time series forecasting with MLOps best practices?
you: not recommended
AI recommended (in order):
1. Practical MLOps
2. Forecasting: Principles and Practice
3. Databricks Lakehouse Platform
4. MLflow (mlflow/mlflow)
5. Google Cloud Platform
6. Vertex AI
7. Amazon SageMaker
8. MLflow (mlflow/mlflow)
9. Designing Machine Learning Systems
AI recommended 9 alternatives but never named cerlymarco/MEDIUM_NoteBook. 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 cerlymarco/MEDIUM_NoteBook?
pass
AI did not name cerlymarco/MEDIUM_NoteBook — 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 cerlymarco/MEDIUM_NoteBook in production, what risks or prerequisites should they evaluate first?
pass
AI named cerlymarco/MEDIUM_NoteBook 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 cerlymarco/MEDIUM_NoteBook solve, and who is the primary audience?
pass
AI named cerlymarco/MEDIUM_NoteBook explicitly
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 cerlymarco/MEDIUM_NoteBook. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/cerlymarco/MEDIUM_NoteBook.svg)](https://repogeo.com/en/r/cerlymarco/MEDIUM_NoteBook)

HTML

<a href="https://repogeo.com/en/r/cerlymarco/MEDIUM_NoteBook"><img src="https://repogeo.com/badge/cerlymarco/MEDIUM_NoteBook.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

cerlymarco/MEDIUM_NoteBook — 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