Employee Promotion Prediction using Logistic Regression
Predicting whether an employee will get promoted or not is crucial for organizations to make informed HR decisions. In this project, we use logistic regression to build a predictive model that estimates the likelihood of employee promotions based on various features.
Results
After training the logistic regression model, we evaluate its performance using metrics like accuracy, precision, recall. Contributing
Contributions are welcome! If you'd like to enhance the code, add new features, or address issues, please submit a pull request. License
This project is licensed under the MIT License.
Feel free to modify this content to match your project's specifics, such as file names, folder structure, and any additional information you want to provide to users. Including details about installation, usage, results, and contributing will make your repository more user-friendly and encourage collaboration.