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Peter Laurinec

Peter Laurinec

Unclaimed

AEO Score: 4/10

Monitoring for AI engine activity

In the Engagemii AEO index

petolau.github.io

About Peter Laurinec

Time series data mining in R. Bratislava, Slovakia.

Key Topics

Peter Laurinec
Overview of clustering methods in R
Multivariate Regression Ensemble Models for Errors Prediction
Multistep horizon loss optimized forecasting with ADAM
CoronaDash app use case - Clustering countries' COVID-19 active cases trajectories
Dangerous streets of Bratislava! Animated maps using open data in R

Details

Category: Technology

petolau.github.io

AI Visibility Breakdown

1

Structured Data

5

Content Structure

5

Entity Clarity

4

E-E-A-T Signals

7

Technical AEO

4

AI Discoverability

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Source & Attribution

Scored by Engagemii on May 29, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/petolau-github-io

Cite this score: Engagemii (2026). "AEO Score for Peter Laurinec." Retrieved from https://engagemii.com/aeo/brands/petolau-github-io

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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