Support Vector Machines w/ Python & SMO (Sequential Minimal Optimization)

►screenshots: https://prototypeprj.blogspot.com/2020/07/support-vector-machines-svm-w-smo.html ►JAVA version @ https://youtu.be/6WZksJCesRc 00:06 demo a prebuilt version of the application 01:37 code the application 01:49 go over the training data used in this app. 02:47 go over the various classes that make up the app. 03:26 quick introduction to Support Vector Machine (SVM) 04:58 quick introduction to Sequential Minimal Optimization (SMO) 06:02 code the SupportVectorMachines class 07:24 plug in equation for 'w' into equation of a linear svm and use resulting equation in code 08:08 EPSILON and slack penalty C 08:30 alpha and violating KKT conditions 09:34 selecting the index of the 2nd alpha to optimize 11:30 optimize an alpha pair and b 13:15 define and calculate w 13:37 classify method 14:00 display information tables code 14:40 handle command line entry code 14:49 plot data + decision boundary + support vectors code 15:34 explain + test run application 16:40 change C and rerun app. to show overfitting ► get access to members-only video contents + support: https://www.youtube.com/channel/UCUvwlMMaeppKPdtAK8PxO8Q/join ► website + download source code: https://prototypeprj.com https://ai.prototypeprj.com https://crypto.prototypeprj.com ► download directly: download ai source code @ https://sites.fastspring.com/prototypeprj/instant/ai download crypto source code @ https://sites.fastspring.com/prototypeprj/instant/crypto download source code (old) page # 2 @ https://sites.fastspring.com/prototypeprj/instant/2020 download source code (older) page # 1 @ https://sites.fastspring.com/prototypeprj/instant/all