Customer Churn Prediction using ANNs.

## Project Request

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| Field | Description |
| ------ | --------------------------------- |
| About |A customer churn model using Artificial Neural Networks (ANN) is a predictive model that aims to identify customers who are at risk of leaving a business or discontinuing their services. The model utilizes ANN, a machine learning technique inspired by the human brain's neural structure, to analyze various customer-related data and predict the likelihood of churn. |
| Github | @prajuktadey |
| Email | theprajuktadey@gmail.com |
| Label | Project Request for GSSOC'23 |

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**Define You**

- [x] GSSOC Participant
- [x] Contributor

# Customer Churn Prediction

## Description

The project aims to develop a customer churn prediction system using Artificial Neural Network (ANN) models. The goal is to create a model that can accurately identify customers who are likely to churn, enabling businesses to take proactive actions to retain those customers and reduce churn rates. The customer churn prediction model developed using ANN can be helpful in various industries and businesses where customer retention is crucial. The model will be deployed on Streamlit.

## Scope

The customer churn prediction model will predict the likelihood of a customer churning or discontinuing their relationship with a business.

## Timeline
End date: 2 weeks from the assignment date.