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This module provides tools and scripts for analyzing employee attrition using Python. It includes data loading, preprocessing, visualization, and potentially predictive modeling to understand and address factors contributing to employee turnover.
The module uses CSV files located in the data/
directory. Specifically, it uses data/AbandonoEmpleados.csv
and data/abandono_con_scoring.csv
.
The primary entry point is the main.ipynb
Jupyter Notebook, which contains the analysis workflow.
The module relies on the following Python libraries, as specified in requirements.txt
:
ipykernel
numpy
pandas
matplotlib
scikit-learn
To install these dependencies, use pip:
pip install -r requirements.txt
The fuga_empleados_files/
directory contains images generated during the analysis, likely visualizations of the data.
This project is licensed under the MIT License - see the LICENSE file for details.
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