Summary
OT / Summary
Course content
Chapter 0 : Machine Learning Basics
Chapter 1 : Linear Regression
Chapter 2 : Regularized Linear Regression
Chapter 3 : LDA Perceptron
Chapter 4 : SVM & Kernals
Chapter 5 : Logistic Regression & GLM
Chapter 6 : GDA & NBC
Chapter 7 : KNN & CV
Machine Learning Algorithm
Homework