GitHub / ITrustNumbers / Churn_Segmentation_Modelling_ANN
This is a complete Project that revolves around churn modeling and it contains every aspect from data cleaning down to model deployment. The data of a bank was used in this implementation. An Artificial Neural Network was trained and used to predict the probability that a given customer would leave the bank(With 87% Test accuracy) and for deployment, an API was developed which can be used for single prediction as well as batch prediction for a number of customers
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ITrustNumbers%2FChurn_Segmentation_Modelling_ANN
PURL: pkg:github/ITrustNumbers/Churn_Segmentation_Modelling_ANN
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 2.56 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 3 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago
Topics: artificial-neural-networks, churn-modelling, classification, flask-api, model-deployment, segmentation-models