RRepoGEO

REPOGEO REPORT · LITE

shafaypro/CrackingMachineLearningInterview

Default branch master · commit 923fe4bb · scanned 5/31/2026, 1:12:33 AM

GitHub: 625 stars · 127 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 shafaypro/CrackingMachineLearningInterview, 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

2 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 (e.g., MIT, Apache-2.0, or GPL-3.0) in the repository root. If a custom license is intended, add a clear statement about the licensing terms directly in the README.
  • mediumreadme#2
    Strengthen the README's initial positioning statement

    Why:

    CURRENT
    ## CrackingMachineLearningInterview
    COPY-PASTE FIX
    ## CrackingMachineLearningInterview: Your Ultimate Guide to Acing Machine Learning Engineer Interviews

A comprehensive, practical interview preparation repository designed for Machine Learning Engineer, AI Engineer, Data Scientist, Deep Learning Engineer, Data Engineer, and MLOps/DevOps roles. This resource helps you master the questions asked by top tech giants and local companies to confidently ace your next ML interview.

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 shafaypro/CrackingMachineLearningInterview
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LeetCode
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LeetCode · recommended 2×
  2. Designing Machine Learning Systems · recommended 1×
  3. Machine Learning System Design · recommended 1×
  4. Machine Learning Engineering for Production (MLOps) Specialization · recommended 1×
  5. Grokking the Machine Learning Interview · recommended 1×
  • CATEGORY QUERY
    Looking for comprehensive resources to prepare for machine learning engineer interviews.
    you: not recommended
    AI recommended (in order):
    1. Designing Machine Learning Systems
    2. Machine Learning System Design
    3. Machine Learning Engineering for Production (MLOps) Specialization
    4. Grokking the Machine Learning Interview
    5. Machine Learning Interviews
    6. LeetCode
    7. Hugging Face's Transformers library (huggingface/transformers)

    AI recommended 7 alternatives but never named shafaypro/CrackingMachineLearningInterview. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find modern AI and GenAI interview questions and study guides?
    you: not recommended
    AI recommended (in order):
    1. Cracking the Coding Interview
    2. Towards Data Science
    3. LeetCode
    4. Google
    5. Coursera
    6. edX
    7. DeepLearning.AI
    8. GitHub
    9. Hugging Face

    AI recommended 9 alternatives but never named shafaypro/CrackingMachineLearningInterview. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 shafaypro/CrackingMachineLearningInterview?
    pass
    AI did not name shafaypro/CrackingMachineLearningInterview — 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 shafaypro/CrackingMachineLearningInterview in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shafaypro/CrackingMachineLearningInterview 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 shafaypro/CrackingMachineLearningInterview solve, and who is the primary audience?
    pass
    AI did not name shafaypro/CrackingMachineLearningInterview — 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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shafaypro/CrackingMachineLearningInterview — 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