https://github.com/jaymax01/bank-customer-classification
Deployment of classification algorithms for customer classification
https://github.com/jaymax01/bank-customer-classification
knn-classification pandas python3 sklearn-library streamlit-webapp vscode xgboost-classifier
Last synced: 11 months ago
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Deployment of classification algorithms for customer classification
- Host: GitHub
- URL: https://github.com/jaymax01/bank-customer-classification
- Owner: jaymax01
- Created: 2024-02-02T14:52:27.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-02T17:21:36.000Z (almost 2 years ago)
- Last Synced: 2024-02-03T18:01:08.714Z (almost 2 years ago)
- Topics: knn-classification, pandas, python3, sklearn-library, streamlit-webapp, vscode, xgboost-classifier
- Language: Python
- Homepage:
- Size: 15.6 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Classifying convertion rates for bank customers
*The project involved the analysis and the classification of Thera Bank's customers with a liability account towards understanding a more optimized way of running their advertising campaign to get the customers to subscribe to the Bank's loan account. A better understanding of the customer's information would give the Bank better insights on improving their advertising campaign results from the previous year.*
## Project Outline
Exploratory data analysis
Visualization of the customers' data
Model training and evalutions
Recommendations and deployment
## Installation
The following python libraries are used for the project
* matplotlib
* seaborn
* pandas
* numpy
* streamlit
* scikit learn
* xgboost
## Deployment
*To run the application download the project files into a single folder or directory and use a python IDE like visual studio to open the python file. Run the command to start up the app in your browser.*
```bash
streamlit run Streamlit app.py
```
## Screenshots
