Data prediction using different machine learning models
Computer science
Thesis project description
The main focus of this project is to work with real life problems and real life data. As the title suggests, we are thinking of using different methods to predict new data.
Managerial value of the research
This project can have greate value for you as a company, since the nature of data prediction can be useful in a number of different areas from minimizing cost to optimizing a product.
We imagine the outcome of this thesis would be a working model, which the company can use if they desire. Of course, there is no guarrentee of a "perfect" model, but that would be the goal of the project.
Research topic motivation
We find the topic of machine learning and data science very interesting. We already have experience with different machine learning technologies, which includes prediction models from different datasets.
Why collaborate with us
We are a group of student, who have worked together on several ML projects beforehand. Therefore, we have a good working dynamic and can produce something rather quickly.
Some of our previous projects focused on:
- Simulation and reinforcement learning (using Unity)
- Prediction models from different datasets
- Computer visison and CNN
We are very open to different fields. However, we think knowledge about the area is essential to making a good model, so we expect to be working with an expert in the field or making time for familiarizing us with the data.

Project information
Project type
Thesis project
Collaboration semester
Spring 2023
Collaboration duration
19 to 21 weeks.
Collaboration start date
2023-01-01
Collaboration end date
2023-01-15
Number of student
4
Collaboration language
Danish, English
Interested in a collaboration?
Project Researcher #1
Researcher background
Academic Degree
Candidate
Study programme
Computer Science and Informatics
Graduation
Spring 2023
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