vishal815/Customer-Churn-Prediction-using-Artificial-Neural-Network
This project involves building an Artificial Neural Network (ANN) for predicting customer churn. The dataset used contains various customer attributes, and the ANN is trained to predict whether a customer is likely to leave the bank.
Implements a sequential neural network with two hidden layers using TensorFlow/Keras, incorporating standard preprocessing pipelines (label encoding, one-hot encoding, feature scaling) and binary crossentropy optimization. The model achieves 86.3% accuracy through 100 epochs of training on the Churn_Modelling dataset. Includes prediction examples with detailed formatting requirements for categorical variable encoding.
No commits in the last 6 months.
Stars
6
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/vishal815/Customer-Churn-Prediction-using-Artificial-Neural-Network"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
TatevKaren/artificial-neural-network-business_case_study
Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN),...
sagnikghoshcr7/Bank-Customer-Churn-Prediction
Predict the Churn rate of a bank.
ErayMericDev/Bank-Customer-Churn-Prediction
Predicting bank customer churn using Artificial Neural Networks (ANN) and Python.
Amazenmb/AmericanExpress-Data-Analysis-for-User-Exit-Prediction
Analysing AmEx data for predicting of User Exit
bharti-saurabh/issuer-churn-prediction
ML-based cardholder churn prediction model for Issuer clients — Straive Strategic Consulting