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Pranshu-jais authored Jun 20, 2024
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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".

Requirements:
- Python 3.6+
- Libraries:
- pandas
- numpy
- scikit-learn
- tensorflow
- matplotlib
- seaborn
# Setup:
1. Clone the repository:

```bash
git clone <repository-url>
cd <repository-folder>
```
2. Run the script employee_turnover_prediction.py to train the model and generate visualizations:

```bash
python employee_turnover_prediction.py
```

<img width="440" alt="Screenshot 2024-06-21 005516" src="https://github.com/Pranshu-jais/DL-Simplified/assets/150207373/10ec7bb3-4ce2-4ad4-ac48-568b6fa0a0bc">

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