Support Vector Machines and Logistic Regression (Learn ML vid 5)
Video tutorial goes over Logistic Regression, Sigmoid Function, Decision Boundaries, Probability boundaries, Cross-Entropy Loss, Support Vector Machines, Hyperplane, Margin, Kernel Transformations, Hinge Loss, Gamma Parameters, Regularization Tuning
WEBSITE COMING SOON
Sources/Credit for Content:
ML Cheatsheet Read the Docs
https://towardsdatascience.com/suppor...
Savan Patel SVM Theory (Medium)
Rohith Gandhi - Support Vector Machine - Introduction to ML Algorithms
The Learn ML video lecture series is aimed at developing the viewer’s computer science skills in the expansive fields of Machine Learning and Deep Learning.
Made by Siddharth Sharma
