Java project - apply kernel ridge regression on dataset
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Description
Experience Level: Intermediate
The program must have a full object-oriented design, with a full implementation life cycle using modern software engineering principles.
The program will work with a real dataset such as Boston housing, read the data from a file, preprocess the data (normalise, split the dataset into the test and training sets) and apply Ridge Regression using a kernel selected by the user with parameters entered by the user.
The program will have a graphical user interface.
The program will automatically perform tests such as comparison of different kernels, parameters, etc and visualise the results.
The program will work with a real dataset such as Boston housing, read the data from a file, preprocess the data (normalise, split the dataset into the test and training sets) and apply Ridge Regression using a kernel selected by the user with parameters entered by the user.
The program will have a graphical user interface.
The program will automatically perform tests such as comparison of different kernels, parameters, etc and visualise the results.
John J.
0% (0)Projects Completed
1
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Last project
22 Mar 2013
United Kingdom
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