Attrition Navigator is a machine learning project that predicts employee attrition using various algorithms such as Logistic Regression, Naive Bayes, Decision Tree, Random Forest, and Gradient Boost. The project has achieved an accuracy of 89.11%.
The dataset used in this project is available here. Please make sure to review and comply with the dataset's licensing and usage terms.
This project is licensed under the MIT License - see the LICENSE file for details.
Make sure you have the following dependencies installed before running the project:
- Python (>=3.6)
- scikit-learn
- pandas
- numpy
- seaborn
- matplotlib
You can install these dependencies using the following command:
pip install scikit-learn pandas numpy seaborn matplotlib- Clone the repository:
git clone https://github.com/your-username/attrition-navigator.git- Navigate to the project directory:
cd attrition-navigator- Run the application:
python app.pyVisit http://localhost:5000 in your web browser to use the Attrition Navigator.