Toggle navigation
Contact us
Intranet login
About us
Overview
History
Organization
Partnerships
Facts and Figures
Start-ups & Spin-offs
IT Sites
IT Aveiro
IT Coimbra
IT Lisboa
IT Branch - Covilhã
IT Branch - ISCTE-IUL
IT Branch - Leiria
IT Branch - Porto
Research & Innovation
Thematic Lines
Lab Infrastructure
Research Impact
Research Highlights
Technology Transfer
News & Events
News
Coming Events
Past Events
Outreach Activities
Clipping
Newsletters
Work With Us
Post-doc positions
Other research positions
Other contract positions
Why choose IT
Testimonials
Resources
Annual Reports
Quality Policy
Code of Conduct
Gender Equality
Sustainability
Privacy Policy
Support Staff
Complaints Channel
Press Kit
Search!
Creating and sharing knowledge for telecommunications
Home
Thematic Lines
Basic Sciences and Enabling Technologies
Bear Market Prediction Using Logistic Regression, Random Forest, and XGBoost
Close
<p>It appears your web browser doesn't support iframes.</p>
Basic Sciences and Enabling Technologies
CONCLUDED MSC THESIS
Bear Market Prediction Using Logistic Regression, Random Forest, and XGBoost
Pedro Jorge Bastos
Supervisors:
Rui Fuentecilla Maia Ferreira Neves
University:
Instituto Superior Técnico
Keywords:
© 2024, IT - Instituto de Telecomunicações | All Rights Reserved
