Further reading

• Logistic Regression—Detailed Overview: https://towardsdatascience.com/logistic-regression-detailed-overview-46c4da4303bc
• Understanding Support Vector Machine (SVM) algorithm from examples (along with code): https://www.analyticsvidhya.com/blog/2017/09/understaing-support-vector-machine-example-code/
• Understanding Support Vector Machines: A Primer: https://appliedmachinelearning.blog/2017/03/09/understanding-support-vector-machines-a-primer/
• Support Vector Machine: Kernel Trick; Mercer's Theorem: https://towardsdatascience.com/understanding-support-vector-machine-part-2-kernel-trick-mercers-theorem-e1e6848c6c4d
• SVMs with Kernel Trick (lecture): https://ocw.mit.edu/courses/sloan-school-of-management/15-097-prediction-machine-learning-and-statistics-spring-2012/lecture-notes/MIT15_097S12_lec13.pdf
• Support Vector Machines—Kernels and the Kernel...