# Herramientas/Materiales Necesarios

* **Lenguajes y Frameworks:**
  * Python 
    * **Pandas:** Para manipulación y análisis de datos.
    * **Scikit-learn:** Para implementación de algoritmos de aprendizaje automático.
    * **NetworkX:** Para análisis de grafos y redes.
    * **TensorFlow/PyTorch:** Para modelos avanzados de aprendizaje profundo.
    * **FraudDetection:** Bibliotecas específicas para detección de fraude.
  * JavaScript (NestJs, Node.js)
* **Bases de Datos:**
  * MongoDB
  * Amazon S3
  * PostgreSQL
* **APIs:**
  * APIs de affiliate networks para obtener datos.
* **Herramientas de Análisis y Visualización:**
  * OpenSearch
  * Power BI


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