Classification in MatLab by SVM and Random Forest

Completed Posted 7 years ago Paid on delivery

zł30-90 PLN

Paid on delivery

Completed Paid on delivery

I need to make a reduction features using two methods by Matlab: Principal Component Analysis (PCA) and probabilistic PCA (it can be made by for example toolbox [login to view URL] or by other method, not toolbox) and then make a classification (there are 6 classes) by SMV and Random Forests. Data are provided in a spreadsheet, where the class are in the last column.

Matlab and Mathematica

Project ID: #10585550

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6 proposals Remote project Active 7 years ago

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mumukati's Profile Picture
mumukati

Dear employer, Till now we have been working with government agencies and were doing local projects but to increase our exposure we have started working internationally. We are a team of 4 researchers who are h More

zł400 PLN in 3 days
(38 Reviews)
5.2

6 freelancers are bidding on average zł395 for this job

aminariaz's Profile Picture
aminariaz

sir i can help u with this project i have done masters in computer engg with specilization in image processing and pattern recognition this is a dummy bid i can give u an exact estimate after we discuss the project hop More

zł444 PLN in 1 day
(102 Reviews)
6.1
pritam2302's Profile Picture
pritam2302

I have done projects on feature reduction using PCA. I am confident of successfully completing the project.

zł250 PLN in 3 days
(4 Reviews)
3.1
alexbauer9zig's Profile Picture
alexbauer9zig

Hi, I would liketo help with your projects. Even though I have not much freelancing experience, I have quite a bit of matlab experience, especially in the field of scientific computing, data analysis, machine learni More

zł444 PLN in 10 days
(0 Reviews)
0.0
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