Defining financial risks and market trends through predictive data analysis

Author

Marcelle Louise, CCT College Dublin
Luciana Teixeira, CCT College Dublin
Muhammad Shahbaz, CCT College Dublin
Giovanni Andrade, CCT College Dublin

Programme

BSc (Hons) in Computing in IT

Subject

Computer Science

Department

Computer Science

Abstract

This project focuses on Dublin short term rental market opportunities, by developing pricing and rate occupancy prediction models based on machine learning approaches to identify patterns that may impact or aid users in making smarter and cost-effective decisions. The concept of this research is to show the financial feasibility of data services, as well as how data science can improve business and operational efficiency.

Date of Award

Summer 2022

Full Publication Date

November 2022

Access Rights

open access

Document Type

Poster

Resource Type

other

Comments

BSc(Hons) in Computing in IT (4th Yr)

Recommended Citation

Louise, Marcelle; Teixeira, Luciana; Shahbaz, Muhammad; and Andrade, Giovanni, "Defining financial risks and market trends through predictive data analysis" (2022). ICT. 31.
https://arc.cct.ie/ict/31