A Machine learning approach for forecasting financial bubbles
The goal of this document is to categorically foresee bubble like behavior in stocks. In order to accomplish this a wide variety of libraries, including Google¿s renowned Tensorflow and a well founded and updated stock market dataset were be used. The data gathering process for this project was with...
- Autores:
-
Londoño Bohórquez, Daniel Santiago
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2022
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/58811
- Acceso en línea:
- http://hdl.handle.net/1992/58811
- Palabra clave:
- Machine Learning
Ingeniería
- Rights
- openAccess
- License
- Atribución 4.0 Internacional