Least Absolute Deviation(LAD), Huber Fitting and Least Absolute Shrinkage and Selection Operator(LASSO) solved using Alternating Direction Method of Multipliers(ADMM) approach, from a Linear Algebra standpoint along with the Machine Learning justification for exploration.
The Documentation of this project - click here
As of now only local deployment is possible and the corresponding files for,
Feauture selector result comparions with individual feature correlation in python - here
Loss plots in matlab for,
LAD and LS - here
L1, L2, Huber - here
Update equation iterations in matlab - here
B.E.Pranav Kumaar
Student ID @Amrita Vishwa Vidyapeetham - CB.EN.U4AIE20052❄️ Github
Divi Eswar Choudary
Student ID @Amrita Vishwa Vidyapeetham - CB.EN.U4AIE20012❄️ Github