This project needs to be in Matlab for dimensional reduction.
We have a multidimensional data set (25x50) in which we need to find the best subset to fit a regression.
By using PCA you can extract the top N feature which will fit a regression but the final model will have M inputs with the higher R square and min p values.
The output will show all the regressions combination along R, P-values, coeff
Data is attached
Bu iş için 10 freelancer ortalamada $31 teklif veriyor
Hi It is a simple project. I can do it. let me know if interested, I will complete it in 1-2 day. thanks
Hi. I am a professional in applied mathematics. I have many experiences in regression. I am sure I can do it. We can discuss details via chat. I wait for you now. Thanks.
Hello, I am a graduate engineering student and a freelance machine learning engineer. I have completed the same task on Python very recently.I have chosen top 16 features from 254 total features for regression. I Daha Fazla
Hello, I am independent, experienced algorithm expert. I can help with this task with quick turnaorund. Looking to hearing from you. Kind regards Rina B.
I am an expert in Algorithm, Matlab and Mathematica, R Programming Language, Statistical Analysis, Statistics, who consistently delivers great work on time, every time? That's exactly what I'll do for you. I've never m Daha Fazla
hi, i m a engenieer in statistic, i m very interested by your project, please contact me so we can discuss details, i will be waition for your replay. i can statrt immediatly ( i can show you some projects i work on it Daha Fazla