NilsDunlop

Master's student in the Applied Data Science program at Gothenburg University.

Pinned Repositories

group-04
Language:C++3 4 483
DIT376-Assignments
Assignment solutions for group 13 in the GU Course DIT376 Python for Data Science
Language:HTML20
DIT632-Group-1
Work packages
Language:C27 1 00
DIT728-Assignments
Language:SystemVerilog0 1 00
DIT863-Assignments
Assignment Solutions for group 22 in the GU Course DIT863 Statistical Methods for Data Science
Language:Jupyter Notebook1 1 00
DIT867-Assignments
Language:Jupyter Notebook00
group-04
Language:C++28 0 00
RPS
Rps.ai is an AI-powered version of the classic rock-paper-scissors game where users play against a computer via a webcam. It uses an artificial neural network to recognize hand gestures for a fun and unbiased experience.
Language:JavaScript00
Thesis
Thesis investigating the accuracy of metric and machine learning approaches in detecting design patterns
Language:Java1 1 00

NilsDunlop/group-04
Language:C++28 0 00
NilsDunlop/DIT632-Group-1
Work packages
Language:C27 1 00
NilsDunlop/DIT376-Assignments
Assignment solutions for group 13 in the GU Course DIT376 Python for Data Science
Language:HTML20
NilsDunlop/DIT863-Assignments
Assignment Solutions for group 22 in the GU Course DIT863 Statistical Methods for Data Science
Language:Jupyter Notebook1 1 00
NilsDunlop/Thesis
Thesis investigating the accuracy of metric and machine learning approaches in detecting design patterns
Language:Java1 1 00
NilsDunlop/DIT728-Assignments
Language:SystemVerilog0 1 00
NilsDunlop/DIT867-Assignments
Language:Jupyter Notebook00
NilsDunlop/RPS
Rps.ai is an AI-powered version of the classic rock-paper-scissors game where users play against a computer via a webcam. It uses an artificial neural network to recognize hand gestures for a fun and unbiased experience.
Language:JavaScript00