Notes-ML-AndrewNg/notes/week2.md

# 4 Linear Regression with Multiple Variables
## 4.1 Multiple Features

## 4.2 Gradient Descent for Multiple Variables

## 4.3 Gradient Descent in Practice I - Feature Scaling

## 4.4 Gradient Descent in Practice II - Learning Rate

## 4.5 Features and Polynomial Regression

## 4.6 Normal Equation

## 4.7 Normal Equation Noninvertibility

## 4.8 Working on and Submitting Programming Assignments

# 5 Octave Matlab Tutorial
## 5.1 Basic Operations

## 5.2 Moving Data Around

## 5.3 Computing on Data

## 5.4 Plotting Data

## 5.5 Control Statements_ for, while, if statement

## 5.6 Vectorization