https://github.com/blurred-machine/ann-based-banking-churn-prediction

This repository will have all the necessary files for machine learning and deep learning based Banking Churn Prediction ANN model which will analyze tha probablity for a customer to leave the bank services in near future. Deployed on Heroku.
https://github.com/blurred-machine/ann-based-banking-churn-prediction

banking-applications churn-prediction deeplearning deployment heroku jupyter-notebook machinelearning python

Last synced: about 1 month ago
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This repository will have all the necessary files for machine learning and deep learning based Banking Churn Prediction ANN model which will analyze tha probablity for a customer to leave the bank services in near future. Deployed on Heroku.

• Host: GitHub
• URL: https://github.com/blurred-machine/ann-based-banking-churn-prediction
• Owner: blurred-machine
• License: mit
• Created: 2020-04-22T05:27:55.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-02-15T22:46:02.000Z (almost 2 years ago)
• Last Synced: 2023-03-08T22:51:12.523Z (almost 2 years ago)
• Topics: banking-applications, churn-prediction, deeplearning, deployment, heroku, jupyter-notebook, machinelearning, python
• Language: Python
• Homepage: https://banking-churn-pediction.herokuapp.com
• Size: 601 KB
• Stars: 11
• Watchers: 1
• Forks: 12
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ANN-based-Banking-Churn-Prediction

- This repository will have complete machine learning and deep learning based banking churn prediction ANN model which will analyze tha probablity for a customer to leave.

- The project was deployed on Google Cloud Platform as well as completely tested on Localhost.

## Project Description

### Welcome Screen

- The main welcome screen is made in **HTML5** and **CSS3** with a basic and simple design.

- Here is the main screen for the **Bank Churn Prediction** Interface for the bank admin.

![Welcome Screen](https://github.com/paras009/ANN-based-Banking-Churn-Prediction/blob/master/images/3welcome_screen.PNG)

### Bank Admin Input

- The bank employee has to enter the details of the customer whose churn they want to analyze.

- Below is the screenshot of the input being filled by bank employee.

![Filled Screen](https://github.com/paras009/ANN-based-Banking-Churn-Prediction/blob/master/images/4filled_index.png)

## Analysis and Accuracy

- The Prediction engine is built over a deep **Artificial Neural Network** backed with **[Keras](https://www.tensorflow.org/guide/keras)**.

- I have achieved an accuracy of around **~85%** on both training and testing data.

- The ANN is trained over K-fold cross validation testing over 10 rounds to find if it was underfit or overfit over the data based on the variance betweent the accuracies of the 10 rotations.

- The model is Tuned over the Hyerparametes to find the best **batch_size**, **epoch** and **optimizer** for generating the best possible combination for best fit model.

![Accuracy Python Console](https://github.com/paras009/ANN-based-Banking-Churn-Prediction/blob/master/images/1accuracy_console.PNG)

## Deployment and Production

-  The **API interfacing** for the deplyment on [Localhost](http://localhost:8080/index) is done using [Flask](https://flask.palletsprojects.com/en/1.1.x/).

- The server is run on Local system during the staging of the project.

- Older deployment was done on [Google Cloud Platform](https://cloud.google.com/)

- Recently, the final deployment was done on **Heloku** platform and can be accessed from the link below.

- LINK: [https://banking-churn-pediction](https://banking-churn-pediction.herokuapp.com)

## Predictions

- The final prediction of the model is the percentage of churn for that customer.

-  The prediction signifies the chances of the customer to leave the services of the bank which makes the bank to _focus more on such such customers_ and try to retain them using **[Sales and Marketing strategies](https://github.com/paras009/Sales-and-Marketing-Analytics)** about which I have worked in this [GitHub](https://github.com/paras009/Sales-and-Marketing-Analytics) module.

![Prediction Screenshot](https://github.com/paras009/ANN-based-Banking-Churn-Prediction/blob/master/images/5prediction.PNG)

## Contribution

- The project is built completely by Paras Varshney.

Connect on [LinkedIn](https://www.linkedin.com/in/pv009)

Follow on [Medium](https://medium.com/@pv009)

Follow on [Github](https://github.com/paras009)

#### Thank You!