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fix: update project links to point to the new ArtStudies repository
feat: add new homelab project documentation with details on services and hardware fix: correct project code links for Monte Carlo Project and Schelling Segregation Model refactor: rename Studies Projects to ArtStudies for better clarity and consistency i18n: add project descriptions in English, Spanish, and French locales chore: update package name to artsite and adjust dependency versions style: add cover image for ArtLab project fix: update chat message labels for better readability and translation usage
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The project was done as part of the course `Generalised Linear Model` at the Paris-Dauphine PSL University. The goal of the project is to determine the best model that predicts/explains the number of bicycle rentals, based on various characteristics of the day (temperature, humidity, wind speed, etc.).
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You can find the code here: [GLM Bikes Code](https://github.com/ArthurDanjou/Studies/blob/master/M1/General%20Linear%20Models/Projet/GLM%20Code%20-%20DANJOU%20%26%20DUROUSSEAU.rmd)
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You can find the code here: [GLM Bikes Code](https://github.com/ArthurDanjou/ArtStudies/blob/master/M1/General%20Linear%20Models/Projet/GLM%20Code%20-%20DANJOU%20%26%20DUROUSSEAU.rmd)
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<iframe src="/projects/bikes-glm/Report.pdf" width="100%" height="1000px">
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</iframe>
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content/projects/homelab.md
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content/projects/homelab.md
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---
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slug: homelab
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title: 🏡 ArtLab
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description: My personal homelab, where I experiment with self-hosting and automation.
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publishedAt: 2025/09/04
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readingTime: 1
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cover: artlab/cover.png
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favorite: true
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tags:
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- homelab
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- docker
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---
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[**ArtLab**](https://status.arthurdanjou.fr) is my personal homelab, where I experiment with self-hosting and automation.
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My homelab is a self-hosted environment where I deploy, test, and maintain personal services. Everything is securely exposed **only through a private VPN** using [Tailscale](https://tailscale.com/), ensuring encrypted, access-controlled connections across all devices.
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For selected services, I also use **Cloudflare Tunnels** to enable secure external access without opening ports or exposing my public IP.
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### 🛠️ Running Services
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- **MinIO**: S3-compatible object storage for static files and backups.
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- **Immich**: Self-hosted photo management platform — a private alternative to Google Photos.
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- **Jellyfin**: Media server for streaming movies, shows, and music.
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- **Portainer & Docker**: Container orchestration and service management.
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- **Traefik**: Reverse proxy and automatic HTTPS with Let's Encrypt.
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- **Homepage**: A sleek dashboard to access and monitor all services.
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- **Proxmox**: Virtualization platform used to manage VMs and containers.
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- **Uptime Kuma**: Self-hosted uptime monitoring.
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- **Home Assistant**: Smart home automation and device integration.
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- **AdGuard Home**: Network-wide ad and tracker blocking via DNS.
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- **Beszel**: Self-hosted, lightweight alternative to Notion for notes and knowledge management.
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- **Palmr**: Personal logging and journaling tool.
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### 🖥️ Hardware
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- **Beelink EQR6**: AMD Ryzen mini PC, main server host.
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- **TP-Link 5-port Switch**: Network connectivity for all devices.
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- **UGREEN NASync DXP4800 Plus**: 4-bay NAS, currently populated with 2 × 8TB drives for storage and backups.
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This homelab is a sandbox for DevOps experimentation, infrastructure reliability, and privacy-respecting digital autonomy.
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- Cumulative density function
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- Empirical Quantile Function
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You can find the code here: [Monte Carlo Project Code](https://github.com/ArthurDanjou/Studies/blob/0c83e7e381344675e113c43b6f8d32e88a5c00a7/M1/Monte%20Carlo%20Methods/Project%201/003_rapport_DANJOU_DUROUSSEAU.rmd)
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You can find the code here: [Monte Carlo Project Code](https://github.com/ArthurDanjou/ArtStudies/blob/0c83e7e381344675e113c43b6f8d32e88a5c00a7/M1/Monte%20Carlo%20Methods/Project%201/003_rapport_DANJOU_DUROUSSEAU.rmd)
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<iframe src="/projects/monte-carlo-project/Report.pdf" width="100%" height="1000px">
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</iframe>
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This is the French version of the report for the Schelling Segregation Model project. The project was done as part of the course `Projet Numérique` at the Paris-Saclay University. The goal was to implement the Schelling Segregation Model in Python and analyze the results using statistics and data visualization.
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You can find the code here: [Schelling Segregation Model Code](https://github.com/ArthurDanjou/Studies/blob/e1164f89bd11fc59fa79d94aa51fac69b425d68b/L3/Projet%20Num%C3%A9rique/Segregation.ipynb)
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You can find the code here: [Schelling Segregation Model Code](https://github.com/ArthurDanjou/ArtStudies/blob/e1164f89bd11fc59fa79d94aa51fac69b425d68b/L3/Projet%20Num%C3%A9rique/Segregation.ipynb)
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<iframe src="/projects/schelling/Projet.pdf" width="100%" height="1000px">
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</iframe>
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---
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slug: studies
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title: 🎓 Studies Projects
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slug: artstudies
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title: 🎓 ArtStudies
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description: A curated collection of mathematics and data science projects developed during my academic journey.
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publishedAt: 2023/09/01
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readingTime: 1
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- r
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---
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[Studies Projects](https://github.com/ArthurDanjou/studies) is a curated collection of academic projects completed throughout my mathematics studies. The repository showcases work in both _Python_ and _R_, focusing on mathematical modeling, data analysis, and numerical methods.
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[ArtStudies](https://github.com/ArthurDanjou/artstudies) is a curated collection of academic projects completed throughout my mathematics studies. The repository showcases work in both _Python_ and _R_, focusing on mathematical modeling, data analysis, and numerical methods.
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The projects are organized into two main sections:
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- **L3** – Third year of the Bachelor's degree in Mathematics
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