Neural-Networks

Project completed as part of Great Learning's Postgraduate Program in Artificial Intelligence and Machine Learning
Project delivered in March 2022
Repository includes two files:
- Jupyter notebook with Python code written for data analysis and model building
- CSV file includes data imported into notebook

Problem Statement

To help the operations team identify the customers that are more likely to churn by building an artificial Neural Network.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
Bank_Churn_Prediction.ipynb		Bank_Churn_Prediction.ipynb
Churn.csv		Churn.csv
LICENSE		LICENSE
README.md		README.md