# jalajthanaki/Customer\_segmentation

<https://repo.masters-masters.com/repos/jalajthanaki/Customer_segmentation>

[Accueil](https://repo.masters-masters.com/) › [jalajthanaki](https://repo.masters-masters.com/owners/jalajthanaki) › [Customer\_segmentation](https://repo.masters-masters.com/repos/jalajthanaki/Customer_segmentation)

jalajthanaki/Customer\_segmentation, dépôt open source à 139 étoiles sur GitHub. Carte Prototype de RepoMasters. Analysing the content of an E-commerce…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [jalajthanaki](https://repo.masters-masters.com/owners/jalajthanaki) |
| Étoiles | 139 |
| Forks | 61 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2018 |
| Sujets | customer-segmentation, customer-analytics, e-commerce-example, machine-learning-algorithms, voting-classifier, predictive-analytics |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [jalajthanaki/Customer\_segmentation](https://github.com/jalajthanaki/Customer_segmentation) |

## Fiche du dépôt

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.