OyizaIbj/Expresso_Churn_Prediction_and_App_Deployment

Domaine:

socioeconomic

Type de record:

dataset

Créateur:

Oyi

Hôte:

I worked on the 'Expresso churn' dataset provided as part of the Expresso Churn Prediction Challenge by Zindi. Expresso provides telecommunication services in two African countries: Mauritania and Senegal. The data describes 2.5 million Expresso clients with more than 15 variables in order to predict the clients' churn probability.

Visit

github.com

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OyizaIbj/Financial_Inclusion_Prediction_in_Africa

Here, I worked on the 'Financial Inclusion in Africa' dataset provided as part of a Challenge by Zin