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# Employee Turnover Prediction using Deep Learning | ||
- This project demonstrates the application of deep learning techniques to predict employee turnover using HR analytics data. The model is built using TensorFlow/Keras and trained on a dataset sourced from this link "https://raw.githubusercontent.com/mwitiderrick/kerasDO/master/HR_comma_sep.csv". | ||
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Requirements: | ||
- Python 3.6+ | ||
- Libraries: | ||
- pandas | ||
- numpy | ||
- scikit-learn | ||
- tensorflow | ||
- matplotlib | ||
- seaborn | ||
# Setup: | ||
1. Clone the repository: | ||
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```bash | ||
git clone <repository-url> | ||
cd <repository-folder> | ||
``` | ||
2. Run the script employee_turnover_prediction.py to train the model and generate visualizations: | ||
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```bash | ||
python employee_turnover_prediction.py | ||
``` | ||
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<img width="440" alt="Screenshot 2024-06-21 005516" src="https://github.com/Pranshu-jais/DL-Simplified/assets/150207373/10ec7bb3-4ce2-4ad4-ac48-568b6fa0a0bc"> |