Project 2: Machine learning models for performance modelling#
In this project, you are supposed to implement different machine learning algorithms for the modelling of a ship’s performance. Then you can compare the cons/pros of different algorithms, as well as their parameters selection. The report should be composed of at least the following components:
Background of the project
Methods used in the project
Results of different methods
Discussion/Comparison of different methods
Conclusions
You can access the pdf file of the assginment project through project description
You can download Data for this project (data is scaled)
NB: you can also download the data from the Github repository