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marxprop/Winning-Solution-Expresso-Churn-Prediction-Challenge-by-DSN

Domain:

digital infrastructure

Record type:

project
Creator:
mar
Host:
Hackathon Solution for the Expresso Churn Prediction Challenge by Data Science Nigeria ### Winning-Solution-Expresso-Churn-Prediction-Challenge-by-DSN Expresso is an African telecommunications company that provides customers with airtime and mobile data bundles. The objective of this challenge is to develop a machine learning model to predict the likelihood of each Expresso customer “churning,” i.e. becoming inactive and not making any transactions for 90 days. This solution will help Expresso to better serve their customers by understanding which customers are at risk of leaving. About Expresso: Expresso is an African telecommunications services company that provides telecommunication services in two African markets: Mauritania and Senegal. Expresso offers a wide range of products and services to meet the needs of customers. #### In this solution, AUC was optimized for early stopping rather than logloss

Visit

github.com

Tags

data-scienceensemble-learningmachine-learningpython

Licenses

Apache-2.0