Here are my notes about the important models:

Notes are mainly based on Stanford CS229.

General Linear Models

SVM

GDA and Naive Bayes

Decision Tree

Ensemble Learning

K-means

EM and GMM

KNN

PCA

Remain: Deep learning models, learning theory.