Interactive Employee Classifier

Want to predict employee attrition using the features from a HR dataset? Well, look no further! This interactive tool allows you to build and evaluate different machine learning classification models exactly for this purpose.

Live app: https://interactive-employee-classifier.onrender.com
Demo video: https://youtu.be/UPSQSVIewec

Dataset

This project uses preprocessed versions of an HR dataset from Kaggle. The original dataset contains 14,999 rows and 10 columns, each row representing self-reported information from employees.

Quick Start Guide

Prerequisites

• Docker

Start application

To build and start the services (i.e., Streamlit application), run:

docker compose up

Note: The build process may take several minutes due to the large amount of Python dependencies.

Upon completion, you can start using the Streamlit application by opening your web browser and navigating to http://localhost:8501.

Stop application

To stop and remove the services, just hit Ctrl+C and run:

docker compose down

License

Copyright (c) 2024 Markku Laine

This software is distributed under the terms of the MIT License. See LICENSE for details.