docs: clone HTTPS only, language banner at the top
Public READMEs now expose a single git.gregoiremureau.com clone URL. The Tailscale SSH form only works on the homelab network and leaked the NAS address. The language switcher sits right under the title so an English speaker landing on the French page can leave without reading French.
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# Projet de Segmentation Client - Olist
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📘 This project is also available in [English 🇬🇧](./README.md)
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**Source de vérité** : https://git.gregoiremureau.com/openclassroom-ai/oc-p05-customer-segmentation
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```bash
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git clone https://git.gregoiremureau.com/openclassroom-ai/oc-p05-customer-segmentation.git
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git clone https://git.gregoiremureau.com/openclassroom-ai/oc-p05-customer-segmentation.git
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```
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Dataset : voir `fetch-data.sh` (hors git si volumineux).
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# Projet de Segmentation Client - Olist
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📘 This project is also available in [English 🇬🇧](./README.md)
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## 📋 Contexte du projet
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Ce projet a été réalisé dans le cadre d'une mission de consulting pour **Olist**, une entreprise brésilienne proposant une solution de vente sur les marketplaces en ligne. L'objectif principal est d'accompagner Olist dans la mise en place de leur équipe Data et de réaliser leur premier cas d'usage Data Science autour de la segmentation client.
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# Customer Segmentation Project - Olist
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📘 Ce projet est également disponible en [français 🇫🇷](./README.fr.md)
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**Source of truth** : https://git.gregoiremureau.com/openclassroom-ai/oc-p05-customer-segmentation
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```bash
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git clone https://git.gregoiremureau.com/openclassroom-ai/oc-p05-customer-segmentation.git
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git clone https://git.gregoiremureau.com/openclassroom-ai/oc-p05-customer-segmentation.git
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```
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Dataset: see `fetch-data.sh` (excluded from git if large).
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# Customer Segmentation Project - Olist
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📘 Ce projet est également disponible en [français 🇫🇷](./README.fr.md)
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## 📋 Project Context
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This project was carried out as part of a consulting assignment for **Olist**, a Brazilian company offering an online marketplace sales solution. The main objective is to support Olist in setting up their Data team and delivering their first Data Science use case around customer segmentation.
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