REPOGEO REPORT · LITE

lazyprogrammer/machine_learning_examples

Default branch master · commit f8d02702 · scanned 6/24/2026, 12:23:08 PM

GitHub: 8,890 stars · 6,403 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)

3 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 lazyprogrammer/machine_learning_examples, 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 H1 and opening sentence to clarify purpose

Why:

CURRENT

machine_learning_examples
A collection of machine learning examples and tutorials.

COPY-PASTE FIX

machine_learning_examples
Official code examples and tutorials accompanying machine learning, deep learning, and NLP courses from LazyProgrammer.me and DeepLearningCourses.com.

highlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Add a LICENSE file to the repository root, containing the text of a standard open-source license such as MIT or Apache-2.0.

mediumabout#3

Update the repository's About description

Why:

CURRENT

A collection of machine learning examples and tutorials.

COPY-PASTE FIX

Official code examples and tutorials accompanying machine learning, deep learning, and NLP courses from LazyProgrammer.me and DeepLearningCourses.com.

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 lazyprogrammer/machine_learning_examples

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

huggingface/transformers

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

huggingface/transformers · recommended 1×
pytorch/pytorch · recommended 1×
tensorflow/tensorflow · recommended 1×
Kaggle · recommended 1×
fastai/fastbook · recommended 1×

CATEGORY QUERY
Where can I find practical code examples for deep learning and NLP projects?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers Library (huggingface/transformers)
2. PyTorch (pytorch/pytorch)
3. TensorFlow (tensorflow/tensorflow)
4. Kaggle
5. fast.ai (fastai/fastbook)
6. GitHub Repositories of Research Papers
AI recommended 6 alternatives but never named lazyprogrammer/machine_learning_examples. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking Python-based tutorials and code for understanding machine learning concepts.
you: not recommended
AI recommended (in order):
1. Scikit-learn
2. Towards Data Science
3. Kaggle Learn
4. Coursera
5. DeepLearning.AI
6. TensorFlow
7. Keras
8. Machine Learning Mastery
9. Real Python
AI recommended 9 alternatives but never named lazyprogrammer/machine_learning_examples. 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 lazyprogrammer/machine_learning_examples?
pass
AI did not name lazyprogrammer/machine_learning_examples — 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 lazyprogrammer/machine_learning_examples in production, what risks or prerequisites should they evaluate first?
pass
AI named lazyprogrammer/machine_learning_examples 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 lazyprogrammer/machine_learning_examples solve, and who is the primary audience?
pass
AI did not name lazyprogrammer/machine_learning_examples — 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 lazyprogrammer/machine_learning_examples. 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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MARKDOWN (README)

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

HTML

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

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite