Notes-ML-AndrewNg/notes/week3.md

[TOC]

# 6 Logistic Regression

## 6.1 Classification

## 6.2 Hypothesis Representation

## 6.3 Decision Boundary

## 6.4 Cost Function

## 6.5 Simplified Cost Function and Gradient Descent

## 6.6 Advanced Optimization

## 6.7 Multiclass Classification_ One-vs-all

# 7 Regularization
## 7.1 The Problem of Overfitting

## 7.2 Cost Function

## 7.3 Regularized Linear Regression

## 7.4 Regularized Logistic Regression