ROC curve for different Binary classifiers
Roc curve shown the true positive rate versus false positive rate for different classifiers, namely: 1- "SVM-Linear", 2- "SVM-RBF", 3- "Boosting", 4- "Bagging", 5- "Random Forest", 6- "Neural network", 7- "Logit", 8- "MDA"
I have studied, practiced and worked with Machine learning models, control system, embedded system and mechatronics and robotics system. I have done projects in : -Machine Learning, data analysis. -Robotics, control system. -PLC industrial control system. -PIC and arduino micrecontroller system. -Raspberry bi embedded system. -Python programming. -C and C++ programming projects. -Close loop motor power driver. -Discrete simulation and modeling. -Matlab control system. -Labview image processing system. Programming Languages: C, C++, Python,R, java, C#. Software: Matlab, Labview, Rstudio, Arduino, Pycharm, Processing, Solidworks, Visual studio, Arena, Multisim, Proteus ISIS and PCB Designer ISIS.