Employee Churn Prediction is a machine learning project built using Python and Streamlit. The project aims to predict the likelihood of an employee leaving a company, which can help organizations take proactive measures to retain valuable employees and reduce turnover.
- Trains machine learning models on historical employee data
- Predicts whether an employee is likely to leave the company in the near future
- Provides an interactive web-based interface using Streamlit
- Visualizes factors that contribute to churn
- Helps HR departments or managers to gain insights into employee churn and take proactive measures to retain employees
- Can be used as a reference implementation for building predictive models using Python and Streamlit
- Open-source and easily customizable
- Python
- Streamlit
- Machine learning algorithms
Clone the repository and install the dependencies using pip:
git clone https://github.com/ADHIL-MOHAMMED-P-N/Employee_Churn.gitcd Employee_Churnpip install -r requirements.txt
Run the Streamlit app using the following command:
streamlit run app.py
Input employee data into the app and obtain churn prediction results in real-time.
This project is licensed under the MIT License.