Lec-6.29 Support Vector Machines Part-II (Arif Butt @ Data Science)
00:55 Learning Agenda
03:10 Recap of Hard Margin SVM and Langrange Multipliers
11:31 Soft Margin SVM and Langrange Multipliers
20:46 Coding Example: SVM with Perfectly Linearly Separable Data
24:52 Coding Example: SVM with Almost Linearly Separable Data
26:28 Coding Example: SVM with NOT Linearly Separable Data
27:31 Classifying Non-Linear Data using SVM
28:35 Mapping 1D dataset to 2D to make it Linearly Separable
33:02 Mapping 2D dataset to 3D to make it Linearly Separable
36:26 SVM Kernel Function and its Types
37:10 Linear Kernel
37:56 Polynomial Kernel
41:10 Radial Basis Function (RBF) Kernel
46:30 Coding Example: Linear Kernel
49:24 Coding Example: Polynomial Kernel
50:42 Coding Example: RBF Kernel
52:04 Tasks To Do
email: [email protected], [email protected], [email protected]
Lecture Slides and Resources: http://arifbutt.me
Jupyter notebooks: https://github.com/arifpucit/data-sci...