Classification in MatLab by SVM and Random Forest
zł30-90 PLN
Dibayar saat pengiriman
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.
ID Proyek: #10585550
Tentang proyek
Diberikan kepada:
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 Lebih banyak
6 freelancer rata-rata menawar zł395 untuk pekerjaan ini
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 Lebih banyak
I have done projects on feature reduction using PCA. I am confident of successfully completing the project.
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 Lebih banyak