# Pradnya1208/Telecom-Customer-Churn-prediction

<https://repo.masters-masters.com/repos/Pradnya1208/Telecom-Customer-Churn-prediction>

[Accueil](https://repo.masters-masters.com/) › [Pradnya1208](https://repo.masters-masters.com/owners/Pradnya1208) › [Telecom-Customer-Churn-prediction](https://repo.masters-masters.com/repos/Pradnya1208/Telecom-Customer-Churn-prediction)

Pradnya1208/Telecom-Customer-Churn-prediction, dépôt open source à 122 étoiles sur GitHub. Carte Prototype de RepoMasters. Customers in the telecom industry…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [Pradnya1208](https://repo.masters-masters.com/owners/Pradnya1208) |
| Étoiles | 122 |
| Forks | 35 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2021 |
| Sujets | customer-churn-prediction, customer-churn-analysis, classification, classification-algorithm, feature-engineering, cross-validation, model-evaluation, roc-auc, gridsearchcv, sklearn |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [Pradnya1208/Telecom-Customer-Churn-prediction](https://github.com/Pradnya1208/Telecom-Customer-Churn-prediction) |

## Fiche du dépôt

Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.

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.